Triple
T1668490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watford F.C. |
E36068
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object |
Scott Duxbury
Scott Duxbury is a British football executive best known for his long-standing leadership role at Watford Football Club.
|
E280609
|
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: Scott Duxbury | Statement: [Watford F.C., chairman, Scott Duxbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Duxbury Context triple: [Watford F.C., chairman, Scott Duxbury]
-
A.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
B.
Jeffrey Fuller
Jeffrey Fuller is known primarily as the son of prominent American lawyer, feminist, and civil liberties advocate Crystal Eastman.
-
C.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
-
D.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
E.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
- 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: Scott Duxbury Triple: [Watford F.C., chairman, Scott Duxbury]
Generated description
Scott Duxbury is a British football executive best known for his long-standing leadership role at Watford Football Club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scott Duxbury Target entity description: Scott Duxbury is a British football executive best known for his long-standing leadership role at Watford Football Club.
-
A.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
B.
Jeffrey Fuller
Jeffrey Fuller is known primarily as the son of prominent American lawyer, feminist, and civil liberties advocate Crystal Eastman.
-
C.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
-
D.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
E.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90adf3d3c81909233e574e79b82a2 |
completed | March 5, 2026, 4:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af8336f98c8190949c0145d2d31a8f |
completed | March 10, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69af840b2fb881909755b06563b8c561 |
completed | March 10, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af8487bcac819085b6f5827a48696a |
completed | March 10, 2026, 2:40 a.m. |
Created at: March 4, 2026, 7:29 p.m.