Triple

T5741305
Position Surface form Disambiguated ID Type / Status
Subject License to Wed E126619 entity
Predicate starring P1507 FINISHED
Object Josh Flitter E374991 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: Josh Flitter | Statement: [License to Wed, starring, Josh Flitter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Flitter
Context triple: [License to Wed, starring, Josh Flitter]
  • A. Josh Flitter chosen
    Josh Flitter is an American actor and voice actor known for his roles in family films and animated features during the 2000s.
  • B. Justin Spitz
    Justin Spitz is known as one of the children of legendary American Olympic swimmer Mark Spitz.
  • C. Jason Fuchs
    Jason Fuchs is an American screenwriter and actor best known for writing major studio films such as Wonder Woman (2017) and Pan (2015).
  • D. Alex Flanagan
    Alex Flanagan is an American sportscaster and sideline reporter known for her work covering major NFL games and other high-profile sporting events on national television.
  • E. John Fleck
    John Fleck is an American character actor known for his eclectic television and film roles, including a notable appearance in the HBO series "Carnivàle."
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.