Triple

T20405946
Position Surface form Disambiguated ID Type / Status
Subject Robert Hill E500467 entity
Predicate knownFor P22 FINISHED
Object The Big Operator 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 Operator | Statement: [Robert Hill, knownFor, The Big Operator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Operator
Context triple: [Robert Hill, knownFor, The Big Operator]
  • A. The Big Operator chosen
    The Big Operator is a 1959 American crime drama film starring Mickey Rooney as a corrupt union boss, notable for featuring Maila Nurmi in a supporting role.
  • 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. The Big M
    The Big M is the nickname of Frank Mahovlich, a Hall of Fame Canadian ice hockey left winger renowned for his scoring prowess in the NHL during the 1950s–1970s.
  • D. The Operators
    The Operators is a nonfiction book by journalist Michael Hastings that offers a critical, behind-the-scenes account of the U.S. military’s leadership and strategy in the Afghanistan War.
  • E. The Big Thing
    The Big Thing is a public sculpture in Chicago, Illinois, known for its bold, contemporary design and prominent placement in the city’s urban landscape.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67992cfb88190ae49a1723e6667a1 completed April 20, 2026, 7:08 p.m.
Created at: April 16, 2026, 11:29 a.m.