Triple

T18094599
Position Surface form Disambiguated ID Type / Status
Subject Mama Cass Elliot E433050 entity
Predicate associatedAct P37 FINISHED
Object The Big 3 NE NERFINISHED

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 Big 3 | Statement: [Mama Cass Elliot, associatedAct, The Big 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big 3
Context triple: [Mama Cass Elliot, associatedAct, The Big 3]
  • A. The Big Three chosen
    The Big Three were a prominent early 1960s Liverpool rock and roll group associated with the Merseybeat scene, known for their powerful live performances.
  • B. The Big M
    The Big M is a prominent harness racing track located at the Meadowlands Sports Complex in East Rutherford, New Jersey.
  • C. Üç Büyükler
    Üç Büyükler refers to Istanbul’s three most prominent and historically successful football clubs—Galatasaray, Fenerbahçe, and Beşiktaş—which dominate Turkish football in popularity and achievements.
  • D. Mr. 3000
    Mr. 3000 is a 2004 sports comedy film starring Bernie Mac as an arrogant former baseball star who must return to the game to reclaim his 3,000-hit milestone.
  • E. The Big Bam
    The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1b670081908e1e1083436da04e completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.