Triple

T12425115
Position Surface form Disambiguated ID Type / Status
Subject Rocky: Original Motion Picture Score E296877 entity
Predicate originallyComposedFor P1996 FINISHED
Object Rocky E10224 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 | Statement: [Rocky: Original Motion Picture Score, originallyComposedFor, Rocky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocky
Context triple: [Rocky: Original Motion Picture Score, originallyComposedFor, Rocky]
  • A. Rocky
    Rocky is a stage musical adaptation of the iconic boxing film franchise, known for its dramatic underdog story and innovative, cinematic-style fight sequences on Broadway.
  • B. Rocky
    Rocky is the nickname of Rocky Wirtz, the late principal owner and chairman of the NHL’s Chicago Blackhawks.
  • C. 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.
  • D. Rocky
    Rocky is the nickname of Rocky Anderson, an American lawyer and politician who served as mayor of Salt Lake City.
  • E. Rocky chosen
    Rocky is a classic 1976 American sports drama film starring Sylvester Stallone as an underdog boxer who gets an unlikely shot at the world heavyweight title.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0265fc81909a6288d11b78c2f9 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.