Triple

T20702786
Position Surface form Disambiguated ID Type / Status
Subject Third Person E508823 entity
Predicate stars P1956 FINISHED
Object James Franco NE NERFINISHED

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: James Franco | Statement: [Third Person, stars, James Franco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Franco
Context triple: [Third Person, stars, James Franco]
  • A. James Franco chosen
    James Franco is an American actor, filmmaker, and academic known for his diverse roles in films like "127 Hours" and "Pineapple Express" and for his often experimental approach to art and performance.
  • B. Dane DeHaan
    Dane DeHaan is an American actor known for his intense, often offbeat performances in films such as Chronicle, The Amazing Spider-Man 2, and Valerian and the City of a Thousand Planets.
  • C. Emile Hirsch
    Emile Hirsch is an American actor known for his intense performances in films such as "Into the Wild," "Milk," and "Lone Survivor."
  • D. Armie Hammer
    Armie Hammer is an American actor best known for his breakout dual role as the Winklevoss twins in "The Social Network" and for starring in films such as "Call Me by Your Name."
  • E. Miles Teller
    Miles Teller is an American actor known for his versatile performances in films such as Whiplash, The Spectacular Now, and Top Gun: Maverick.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18cb9cc819095d0669dca037424 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:13 p.m.