Triple
T14769854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakeshore Chinooks |
E347099
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object |
Mark Mathias
Mark Mathias is an American professional baseball player known for his versatility as an infielder and outfielder in Major League Baseball.
|
E1118793
|
NE FINISHED |
How this triple was built (4 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: Mark Mathias | Statement: [Lakeshore Chinooks, hasNotableAlumni, Mark Mathias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Mathias Context triple: [Lakeshore Chinooks, hasNotableAlumni, Mark Mathias]
-
A.
Scott Matthews
Scott Matthews is an English singer-songwriter and guitarist known for his emotive vocals and atmospheric folk-rock compositions.
-
B.
Martin Mathias
Martin Mathias is a fictional protagonist named Martin who serves as the central character in his story.
-
C.
John Mattson
John Mattson is an American screenwriter best known for his work on the 1994 family comedy film "Milk Money."
-
D.
Chris Matheson
Chris Matheson is an American screenwriter best known for co-creating and co-writing the cult-classic Bill & Ted film series.
-
E.
John Matuszak
John Matuszak was an American football defensive end turned actor, best known for playing Sloth in the film "The Goonies."
- 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: Mark Mathias Triple: [Lakeshore Chinooks, hasNotableAlumni, Mark Mathias]
Generated description
Mark Mathias is an American professional baseball player known for his versatility as an infielder and outfielder in Major League Baseball.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Mathias Target entity description: Mark Mathias is an American professional baseball player known for his versatility as an infielder and outfielder in Major League Baseball.
-
A.
Scott Matthews
Scott Matthews is an English singer-songwriter and guitarist known for his emotive vocals and atmospheric folk-rock compositions.
-
B.
Martin Mathias
Martin Mathias is a fictional protagonist named Martin who serves as the central character in his story.
-
C.
John Mattson
John Mattson is an American screenwriter best known for his work on the 1994 family comedy film "Milk Money."
-
D.
Chris Matheson
Chris Matheson is an American screenwriter best known for co-creating and co-writing the cult-classic Bill & Ted film series.
-
E.
John Matuszak
John Matuszak was an American football defensive end turned actor, best known for playing Sloth in the film "The Goonies."
- F. None of above. chosen
Provenance (5 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81334e08190a77d760e507d00ed |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf86730819082cf3f502ec16a46 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1874682881909ff97bca55bea320 |
completed | May 8, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1918fa988190b8ed746aa6f6f829 |
completed | May 8, 2026, 5:10 p.m. |
Created at: April 10, 2026, 1:31 a.m.