Triple

T16133033
Position Surface form Disambiguated ID Type / Status
Subject Tommy Boyce E391450 entity
Predicate associatedAct P37 FINISHED
Object Curtis Lee E1195364 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: Curtis Lee | Statement: [Tommy Boyce, associatedAct, Curtis Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curtis Lee
Context triple: [Tommy Boyce, associatedAct, Curtis Lee]
  • A. Curtis Lee chosen
    Curtis Lee was an American pop singer best known for his early 1960s hits like "Pretty Little Angel Eyes."
  • B. Ben Curry
    Ben Curry is an English professional rugby union flanker who has represented Sale Sharks and earned international caps for England.
  • C. Clifton McNeely
    Clifton McNeely was an American basketball player and coach known for being the first overall pick in the inaugural 1947 BAA (now NBA) draft.
  • D. Charles Neblett
    Charles Neblett is an American civil rights activist and singer best known as a founding member of the SNCC Freedom Singers, who used music to support and advance the 1960s Civil Rights Movement.
  • E. Curtis Royal
    Curtis Royal is a fictional member of the Royal Family, depicted as part of a narrative centered on royal life and its internal dynamics.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02e0048190b4e2c6ff434c2d7a completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a304348190bf471f2b9279b806 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.