Triple

T16231323
Position Surface form Disambiguated ID Type / Status
Subject Jim Peterik E393986 entity
Predicate filmAssociatedWith P29643 FINISHED
Object Rocky III E13059 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: Rocky III | Statement: [Jim Peterik, filmAssociatedWith, Rocky III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocky III
Context triple: [Jim Peterik, filmAssociatedWith, Rocky III]
  • A. Rocky III chosen
    Rocky III is a 1982 American sports drama film in the Rocky franchise that follows boxer Rocky Balboa as he faces a fierce new challenger and copes with the loss of his longtime trainer.
  • B. Rocky IV
    Rocky IV is a 1985 American sports drama film in the Rocky franchise, in which boxer Rocky Balboa faces Soviet fighter Ivan Drago amid Cold War tensions.
  • C. Rocky II
    Rocky II is a 1979 American sports drama film that continues the story of underdog boxer Rocky Balboa as he prepares for a rematch with heavyweight champion Apollo Creed.
  • D. Rocky
    Rocky is the given name of American football coach Rocky Long, known for his long career leading various college teams.
  • E. Rocky
    Rocky is a resourceful mixed-breed pup from PAW Patrol known for his love of recycling and inventive use of repurposed materials to solve problems.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d29fa248190943f4c3f7808908b completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007a0ab08819082aea4c312c9ffc7 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:04 a.m.