Triple

T9015555
Position Surface form Disambiguated ID Type / Status
Subject The Fall (2006 film) E215584 entity
Predicate starring P1507 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: [The Fall (2006 film), starring, Leo Bill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Bill
Context triple: [The Fall (2006 film), starring, 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69fc0e4c819080b60456375f94cd completed April 1, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdba8bd8c81909860d561d9d16611 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.