Triple
T11559484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Antonio Wings |
E274102
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object |
Norman Bevan
Norman Bevan was a sports executive best known for owning the short-lived World Football League team, the San Antonio Wings, in the mid-1970s.
|
E936865
|
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: Norman Bevan | Statement: [San Antonio Wings, owner, Norman Bevan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Bevan Context triple: [San Antonio Wings, owner, Norman Bevan]
-
A.
Maurice Denham
Maurice Denham was an English character actor known for his extensive work in film, television, and radio from the mid-20th century onward.
-
B.
Norman Nicholson
Norman Nicholson was a 20th-century English poet and writer known for his vivid portrayals of industrial and rural life in his native Cumbria.
-
C.
Norman Leigh
Norman Leigh was a cinematographer known for his work on the 1978 heist film "The Brink's Job."
-
D.
Norman Shaw
Norman Shaw was a prominent 19th-century British architect known for his influential country houses and for helping define the Queen Anne and Old English styles within Victorian architecture.
-
E.
Norman Spencer
Norman Spencer is a film producer best known for his work on the cult classic 1971 road movie "Vanishing Point."
- 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: Norman Bevan Triple: [San Antonio Wings, owner, Norman Bevan]
Generated description
Norman Bevan was a sports executive best known for owning the short-lived World Football League team, the San Antonio Wings, in the mid-1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norman Bevan Target entity description: Norman Bevan was a sports executive best known for owning the short-lived World Football League team, the San Antonio Wings, in the mid-1970s.
-
A.
Maurice Denham
Maurice Denham was an English character actor known for his extensive work in film, television, and radio from the mid-20th century onward.
-
B.
Norman Nicholson
Norman Nicholson was a 20th-century English poet and writer known for his vivid portrayals of industrial and rural life in his native Cumbria.
-
C.
Norman Leigh
Norman Leigh was a cinematographer known for his work on the 1978 heist film "The Brink's Job."
-
D.
Norman Shaw
Norman Shaw was a prominent 19th-century British architect known for his influential country houses and for helping define the Queen Anne and Old English styles within Victorian architecture.
-
E.
Norman Spencer
Norman Spencer is a film producer best known for his work on the cult classic 1971 road movie "Vanishing Point."
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a899d4481909a3bce3147763b51 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86b56e4081908746bb3355f6ec47 |
completed | April 26, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69ee9cf1cb2481908bc473c87bc42d60 |
completed | April 26, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd31894481908dbd55f605c693f9 |
completed | April 27, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:37 p.m.