Triple

T10514521
Position Surface form Disambiguated ID Type / Status
Subject Dave Franco E247997 entity
Predicate sibling P363 FINISHED
Object James Franco E49504 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: James Franco | Statement: [Dave Franco, sibling, James Franco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Franco
Context triple: [Dave Franco, sibling, 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 (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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cade0c81908fcbd54a90106bf9 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbacad75b8819090657ab4335cebbc completed April 12, 2026, 2:31 p.m.
Created at: April 6, 2026, 12:27 p.m.