Triple

T14622264
Position Surface form Disambiguated ID Type / Status
Subject Forty Guns E343253 entity
Predicate director P255 FINISHED
Object Samuel Fuller E599255 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: Samuel Fuller | Statement: [Forty Guns, director, Samuel Fuller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Fuller
Context triple: [Forty Guns, director, Samuel Fuller]
  • A. Samuel Fuller
    Samuel Fuller was an English physician and prominent Pilgrim who sailed on the Mayflower and served as the chief doctor for the Plymouth Colony.
  • B. Samuel Fuller chosen
    Samuel Fuller was an American film director, screenwriter, and novelist known for his hard-hitting, low-budget genre films that often explored themes of war, crime, and social conflict.
  • C. Sam Fuller
    Sam Fuller is a tough, no-nonsense FBI agent who becomes Gracie Hart’s reluctant partner and ally in the comedy film "Miss Congeniality 2: Armed and Fabulous."
  • D. Samuel Fuller Jr.
    Samuel Fuller Jr. is the son of American filmmaker, screenwriter, and novelist Samuel Fuller, known for his influential work in mid-20th-century cinema.
  • E. Carl Foreman
    Carl Foreman was an American screenwriter and producer best known for his politically charged, character-driven films of the 1950s, including the classic Western "High Noon."
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb466a61c81908a110d40fb959b6f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5cd890c8190902c9b526babe6d3 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:25 a.m.