Triple
T12694273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan (Mingo leader) |
E303287
|
entity |
| Predicate | speechTransmittedBy |
P97645
|
FINISHED |
| Object |
John Gibson
John Gibson was a colonial-era frontiersman and interpreter known for mediating between Native American leaders and British or American officials.
|
E998231
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John Gibson | Statement: [Logan (Mingo leader), speechTransmittedBy, John Gibson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Gibson Context triple: [Logan (Mingo leader), speechTransmittedBy, John Gibson]
-
A.
John Gibson
John Gibson was a 19th-century British architect known for designing prominent public buildings in a classical style.
-
B.
John Gibson
John Gibson is an American professional ice hockey goaltender best known for his standout NHL career with the Anaheim Ducks and international play for Team USA.
-
C.
Michel Gibson
Michel Gibson is a local political figure who serves as the mayor of Kirkland, overseeing the city's municipal government and public affairs.
-
D.
Mark Gibson
Mark Gibson is a screenwriter best known for co-writing the thriller film "The In Crowd."
-
E.
Daniel Gibson
Daniel Gibson is a former American professional basketball player who played as a guard for the Cleveland Cavaliers in the NBA.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John Gibson Triple: [Logan (Mingo leader), speechTransmittedBy, John Gibson]
Generated description
John Gibson was a colonial-era frontiersman and interpreter known for mediating between Native American leaders and British or American officials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Gibson Target entity description: John Gibson was a colonial-era frontiersman and interpreter known for mediating between Native American leaders and British or American officials.
-
A.
John Gibson
John Gibson is an American professional ice hockey goaltender best known for his standout NHL career with the Anaheim Ducks and international play for Team USA.
-
B.
John Gibson
John Gibson was a 19th-century British architect known for designing prominent public buildings in a classical style.
-
C.
Michel Gibson
Michel Gibson is a local political figure who serves as the mayor of Kirkland, overseeing the city's municipal government and public affairs.
-
D.
Mark Gibson
Mark Gibson is a screenwriter best known for co-writing the thriller film "The In Crowd."
-
E.
Daniel Gibson
Daniel Gibson is a former American professional basketball player who played as a guard for the Cleveland Cavaliers in the NBA.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speechTransmittedBy Context triple: [Logan (Mingo leader), speechTransmittedBy, John Gibson]
-
A.
alsoTranscribes
Indicates that an entity, in addition to its primary transcription role, transcribes another specified entity as well.
-
B.
speechAlsoKnownAs
Indicates that a speech or spoken work is referred to by an alternative name, title, or alias.
-
C.
speechType
Indicates the specific category or form of spoken or written communication that an utterance or speech act belongs to (e.g., question, statement, command).
-
D.
isSpoken
Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
-
E.
spokeVia
chosen
Indicates that communication or speech occurred through a particular medium, channel, or intermediary.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671ae935c8190a7fc2cf3c0987248 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6740129688190b286ce7acb4848c7 |
completed | May 2, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675249d248190933421df49d3a2ab |
completed | May 2, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:22 p.m.