Triple
T3660629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Schott Stadium |
E77638
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Stephen Schott
Stephen Schott is an American real estate developer and former co-owner of the Oakland Athletics Major League Baseball team.
|
E480442
|
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: Stephen Schott | Statement: [Stephen Schott Stadium, namedAfter, Stephen Schott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Schott Context triple: [Stephen Schott Stadium, namedAfter, Stephen Schott]
-
A.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
B.
Scott Scherr
Scott Scherr is an American entrepreneur best known as the founder and longtime CEO of the human capital management software company Ultimate Software.
-
C.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
-
D.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
E.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
- 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: Stephen Schott Triple: [Stephen Schott Stadium, namedAfter, Stephen Schott]
Generated description
Stephen Schott is an American real estate developer and former co-owner of the Oakland Athletics Major League Baseball team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Schott Target entity description: Stephen Schott is an American real estate developer and former co-owner of the Oakland Athletics Major League Baseball team.
-
A.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
B.
Scott Scherr
Scott Scherr is an American entrepreneur best known as the founder and longtime CEO of the human capital management software company Ultimate Software.
-
C.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
-
D.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
E.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d6fa188190a6db5bdae7083573 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77765a788190aaf4637ad4cab5ed |
completed | March 21, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69be7885bf60819083f6546234c1c40c |
completed | March 21, 2026, 10:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be78f8baf4819097393d670d217b63 |
completed | March 21, 2026, 10:54 a.m. |
Created at: March 8, 2026, 3:25 p.m.