Triple

T10514556
Position Surface form Disambiguated ID Type / Status
Subject Tom Franco E247998 entity
Predicate name P16 FINISHED
Object Tom Franco E247998 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: Tom Franco | Statement: [Tom Franco, name, Tom Franco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Franco
Context triple: [Tom Franco, name, Tom Franco]
  • A. Tom Franco chosen
    Tom Franco is an American actor, artist, and founder of the Firehouse Art Collective, known for his work in independent films and collaborative art projects.
  • B. Don Perata
    Don Perata is an American politician who served as president pro tempore of the California State Senate and was a prominent Democratic leader in state and local politics.
  • C. Connor Murphy
    Connor Murphy is a troubled, emotionally unstable teenager whose death becomes the catalyst for the events and moral dilemmas in the musical "Dear Evan Hansen."
  • D. Jon Polito
    Jon Polito was an American character actor known for his frequent collaborations with the Coen brothers and his distinctive roles in film and television, including crime dramas and dark comedies.
  • E. Tom Frost
    Tom Frost was an influential American rock climber and mountaineer renowned for pioneering big-wall ascents in Yosemite during the mid-20th century.
  • 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_69d933e4ae048190be51a02c571fab8b completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:27 p.m.