Triple
T3009804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warcraft |
E81988
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Stuart Fenegan
Stuart Fenegan is a film producer best known for his work on genre projects such as the fantasy video game adaptation "Warcraft."
|
E360336
|
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: Stuart Fenegan | Statement: [Warcraft, producer, Stuart Fenegan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Fenegan Context triple: [Warcraft, producer, Stuart Fenegan]
-
A.
Stuart Burge
Stuart Burge was a British film, television, and theatre director best known for his adaptations of classic plays, particularly works by Shakespeare.
-
B.
Keith Fenton
Keith Fenton is the charming yet unfaithful boyfriend whose behavior sparks the romantic mind games at the center of the film "Two Can Play That Game."
-
C.
Stuart Browning
Stuart Browning is an entrepreneur best known as a co-founder of the software company Embarcadero Technologies.
-
D.
Stuart Peach
Stuart Peach is a senior Royal Air Force officer and former UK Chief of the Defence Staff who has held several top command and NATO leadership roles.
-
E.
Matt Fenton
Matt Fenton is a British theatre director and arts leader known for his innovative, youth-focused programming and leadership within the UK performing arts sector.
- 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: Stuart Fenegan Triple: [Warcraft, producer, Stuart Fenegan]
Generated description
Stuart Fenegan is a film producer best known for his work on genre projects such as the fantasy video game adaptation "Warcraft."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stuart Fenegan Target entity description: Stuart Fenegan is a film producer best known for his work on genre projects such as the fantasy video game adaptation "Warcraft."
-
A.
Stuart Burge
Stuart Burge was a British film, television, and theatre director best known for his adaptations of classic plays, particularly works by Shakespeare.
-
B.
Keith Fenton
Keith Fenton is the charming yet unfaithful boyfriend whose behavior sparks the romantic mind games at the center of the film "Two Can Play That Game."
-
C.
Stuart Browning
Stuart Browning is an entrepreneur best known as a co-founder of the software company Embarcadero Technologies.
-
D.
Stuart Peach
Stuart Peach is a senior Royal Air Force officer and former UK Chief of the Defence Staff who has held several top command and NATO leadership roles.
-
E.
Matt Fenton
Matt Fenton is a British theatre director and arts leader known for his innovative, youth-focused programming and leadership within the UK performing arts sector.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4ccbf08190a7580c9e758804d0 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367e2fbb8819084e01920d2a37b80 |
completed | March 13, 2026, 1:26 a.m. |
| NEDg | Description generation | batch_69b36888570c819097e801e76a4e14ac |
completed | March 13, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b368f5e92c8190893929d2ed0f5c6a |
completed | March 13, 2026, 1:31 a.m. |
Created at: March 8, 2026, 3 p.m.