Triple

T3709999
Position Surface form Disambiguated ID Type / Status
Subject Bridget Lee E80985 entity
Predicate spouse P13 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: [Bridget Lee, spouse, Samuel Fuller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Fuller
Context triple: [Bridget Lee, spouse, Samuel Fuller]
  • A. 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.
  • B. 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.
  • C. 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."
  • D. Ken Hughes
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • E. Monte Hellman
    Monte Hellman was an American film director and producer best known for his influential low-budget cult classics, including the road movie "Two-Lane Blacktop."
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc584b86c8190ba1a1073da440b07 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db06e8e481908d1f026ce647a6a5 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:33 p.m.