Triple

T10477738
Position Surface form Disambiguated ID Type / Status
Subject Convoy (1978 film) E247088 entity
Predicate starred P5563 FINISHED
Object Franklyn Ajaye E248318 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: Franklyn Ajaye | Statement: [Convoy (1978 film), starred, Franklyn Ajaye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franklyn Ajaye
Context triple: [Convoy (1978 film), starred, Franklyn Ajaye]
  • A. Franklin Ajaye chosen
    Franklin Ajaye is an American stand-up comedian and actor known for his laid-back delivery and roles in 1970s films and television.
  • B. O-T Fagbenle
    O-T Fagbenle is a British actor and director known for his roles in the TV series "The Handmaid's Tale" and the Marvel Cinematic Universe film "Black Widow."
  • C. John Nham
    John Nham is a writer known for authoring work related to DeepMind's AlphaGo Zero artificial intelligence system.
  • D. Michael Peoples
    Michael Peoples is a screenwriter best known for his work on the science fiction film "Enemy Mine."
  • E. Austin Pendleton
    Austin Pendleton is an American actor, director, and playwright known for his extensive work in theater and film, as well as his influential career as a stage director and teacher.
  • 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_69d509596a088190895199648ccf91a4 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90db8b1288190bb6bb064cb0724e0 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:21 p.m.