Triple
T1749266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Unit |
E38401
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Robert Duncan
Robert Duncan is a television and film composer best known for his atmospheric scores on series such as "Castle" and "Buffy the Vampire Slayer."
|
E221603
|
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: Robert Duncan | Statement: [The Unit, composer, Robert Duncan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Duncan Context triple: [The Unit, composer, Robert Duncan]
-
A.
Simon Donaldson
Simon Donaldson is a British mathematician renowned for his groundbreaking work in differential geometry and topology, particularly the study of smooth four-dimensional manifolds.
-
B.
Alasdair Steedman
Alasdair Steedman was a senior Royal Air Force officer who rose to high command, including leadership of the RAF’s Fighter Command.
-
C.
Alan Stewart
Alan Stewart is a cinematographer known for his work on major feature films, including collaborations with director Guy Ritchie.
-
D.
David Farquharson
David Farquharson was an architect known for designing South Hall.
-
E.
Phil Woolpert
Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
- 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: Robert Duncan Triple: [The Unit, composer, Robert Duncan]
Generated description
Robert Duncan is a television and film composer best known for his atmospheric scores on series such as "Castle" and "Buffy the Vampire Slayer."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robert Duncan Target entity description: Robert Duncan is a television and film composer best known for his atmospheric scores on series such as "Castle" and "Buffy the Vampire Slayer."
-
A.
Simon Donaldson
Simon Donaldson is a British mathematician renowned for his groundbreaking work in differential geometry and topology, particularly the study of smooth four-dimensional manifolds.
-
B.
Alasdair Steedman
Alasdair Steedman was a senior Royal Air Force officer who rose to high command, including leadership of the RAF’s Fighter Command.
-
C.
Alan Stewart
Alan Stewart is a cinematographer known for his work on major feature films, including collaborations with director Guy Ritchie.
-
D.
David Farquharson
David Farquharson was an architect known for designing South Hall.
-
E.
Phil Woolpert
Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63ee4d2081909dfd6d3244228c56 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae030371e88190982c822a460d3e47 |
completed | March 8, 2026, 11:15 p.m. |
| NEDg | Description generation | batch_69ae039a7c948190b8b4b4c2045007d3 |
completed | March 8, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae04253a80819092c112faddec1de1 |
completed | March 8, 2026, 11:20 p.m. |
Created at: March 4, 2026, 7:31 p.m.