Triple

T7712178
Position Surface form Disambiguated ID Type / Status
Subject Edward Fuller E174785 entity
Predicate child P120 FINISHED
Object Samuel Fuller E11214 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: [Edward Fuller, child, Samuel Fuller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Fuller
Context triple: [Edward Fuller, child, Samuel Fuller]
  • A. Samuel Fuller
    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.
  • B. Samuel Fuller chosen
    Samuel Fuller was an English physician and prominent Pilgrim who sailed on the Mayflower and served as the chief doctor for the Plymouth Colony.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ae8b20819096930fe4be41b7be completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8accffffc8190b307ad4741e688a8 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:04 p.m.