Triple

T20415084
Position Surface form Disambiguated ID Type / Status
Subject Tom E. Lewis E500690 entity
Predicate name P16 FINISHED
Object Tom E. Lewis 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: Tom E. Lewis | Statement: [Tom E. Lewis, name, Tom E. Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom E. Lewis
Context triple: [Tom E. Lewis, name, Tom E. Lewis]
  • A. Tom E. Lewis chosen
    Tom E. Lewis was an Indigenous Australian actor and musician known for his roles in films like "The Chant of Jimmie Blacksmith" and his contributions to Aboriginal arts and storytelling.
  • B. Sam M. Lewis
    Sam M. Lewis was an American lyricist best known for writing popular songs during the early 20th-century Tin Pan Alley era.
  • C. H. Gregg Lewis
    H. Gregg Lewis was an influential American labor economist known for his pioneering empirical work on labor supply, wage determination, and union effects on labor markets.
  • D. Todd Lewis
    Todd Lewis is a film producer best known for his work on the 2014 drama "Black or White."
  • E. Bob Turley
    Bob Turley was an American Major League Baseball pitcher, best known as a star hurler for the New York Yankees in the 1950s.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a437eec8190a20c89a236dd5bc0 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:30 a.m.