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.