Triple
T10471115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Fabric |
E246922
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Leo Bill |
E467282
|
NE FINISHED |
How this triple was built (2 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: Leo Bill | Statement: [In Fabric, castMember, Leo Bill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leo Bill Context triple: [In Fabric, castMember, Leo Bill]
-
A.
Leo Bill
chosen
Leo Bill is a British actor known for his character roles in film, television, and theatre, including appearances in works by directors such as Mike Leigh and in period dramas like "Jane Eyre" (2011).
-
B.
Johnny Crale
Johnny Crale is the gunfighter antagonist in the 1958 Western film "Terror in a Texas Town," known for his menacing presence and role as a hired killer enforcing a corrupt land baron's will.
-
C.
Don Roderick
Don Roderick is the legendary last Visigothic king of Spain, often depicted in literature as a tragic figure whose downfall heralds the Moorish conquest of the Iberian Peninsula.
-
D.
Rick Wills
Rick Wills is an English rock bassist best known for his work with bands such as Foreigner, Small Faces, and Bad Company.
-
E.
Bryan Unkeless
Bryan Unkeless is a film producer known for working on acclaimed movies such as "I, Tonya" and other high-profile Hollywood projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0094910819094d492c87b31898e |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.