Triple

T8897725
Position Surface form Disambiguated ID Type / Status
Subject The Yankee E211846 entity
Predicate title P38 FINISHED
Object The Boss E73798 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: The Boss | Statement: [The Yankee, title, The Boss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Boss
Context triple: [The Yankee, title, The Boss]
  • A. The Boss
    The Boss is the famous nickname of American rock musician Bruce Springsteen, renowned for his powerful live performances and working-class anthems.
  • B. The Boss chosen
    The Boss was the domineering and famously hands-on principal owner of the New York Yankees, known for his aggressive management style and frequent managerial changes.
  • C. The Boss
    The Boss is a powerful and feared crime lord in the film "Lucky Number Slevin," serving as one of the central antagonists who drives the story’s underworld conflict.
  • D. The Boss
    The Boss is the nickname of Rick Ross, an American rapper and music executive known for his deep voice, luxurious themes, and influential role in Southern hip-hop.
  • E. The Boss
    The Boss is the popular nickname of Al Sadd SC, one of Qatar’s most successful and dominant football clubs.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6424a8c08190aef2aa2079dd85f1 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac093034819085d8fb1832ec5d73 completed April 3, 2026, 12:01 p.m.
Created at: March 30, 2026, 6:54 p.m.