Triple

T22664109
Position Surface form Disambiguated ID Type / Status
Subject Employee of the Month E559737 entity
Predicate editedBy P1954 FINISHED
Object Tom 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 Lewis | Statement: [Employee of the Month, editedBy, Tom Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Lewis
Context triple: [Employee of the Month, editedBy, Tom Lewis]
  • A. Tom Lewis
    Tom Lewis was the husband of American actress Loretta Young, known primarily for his marriage to the Hollywood star.
  • B. Tom Lewis chosen
    Tom Lewis is a film editor known for his work on the crime-comedy movie "The Whole Nine Yards."
  • C. Peter Lewis
    Peter Lewis is an American musician best known as a guitarist, singer, and songwriter for the 1960s San Francisco rock band Moby Grape.
  • D. Andrew Lewis
    Andrew Lewis was an 18th-century American pioneer, surveyor, and military leader in the French and Indian War and the American Revolutionary War, noted for his role in the Battle of Point Pleasant.
  • E. Peter Mullen
    Peter Mullen is a British Anglican priest and writer known for his traditionalist views and commentary on religious and social issues.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f176617ed8819095a58a2c9f1e3918 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:08 p.m.