Triple

T17117231
Position Surface form Disambiguated ID Type / Status
Subject Adriana Pennino Balboa E415370 entity
Predicate fictionalUniverse P3758 FINISHED
Object Rocky film series E13871 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 film series | Statement: [Adriana Pennino Balboa, fictionalUniverse, Rocky film series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocky film series
Context triple: [Adriana Pennino Balboa, fictionalUniverse, Rocky film series]
  • A. Rocky film series chosen
    The Rocky film series is a popular American sports drama franchise centered on underdog boxer Rocky Balboa’s personal and professional struggles and triumphs.
  • 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 the given name of American football coach Rocky Long, known for his long career leading various college teams.
  • D. Rocky
    Rocky is a member of the British electronic music production and DJ trio X-Press 2, known for their house and dance tracks.
  • E. Rocky
    Rocky is a character who is trained and guided by the wise martial arts master Grandpa Mori Tanaka.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80660048190832d8f91415dd7d7 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a0b69108190ba3ba6ba7f8d3935 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.