Triple

T16267983
Position Surface form Disambiguated ID Type / Status
Subject Terrell Owens E394920 entity
Predicate givenName P17 FINISHED
Object Terrell E394920 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: Terrell | Statement: [Terrell Owens, givenName, Terrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terrell
Context triple: [Terrell Owens, givenName, Terrell]
  • A. Terrell chosen
    Terrell is a masculine given name most notably associated with American athletes, particularly in professional football and basketball.
  • B. Terrell
    Terrell is a small city in Kaufman County, Texas, known as an outlying suburb of the Dallas–Fort Worth metropolitan area.
  • C. Terrell
    Terrell is a surname most notably associated with Mary Eliza Church Terrell, a pioneering African American civil rights activist, educator, and suffragist.
  • D. Tully Marshall
    Tully Marshall was an American character actor of the silent and early sound film era, known for his prolific work in supporting roles across numerous Hollywood productions.
  • E. Quindon Tarver
    Quindon Tarver was an American R&B singer best known for his choral and pop performances in Baz Luhrmann’s film "Romeo + Juliet," including his notable cover of Prince’s "When Doves Cry."
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c963ec8190b059fecac6248cd9 completed April 17, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da0a2908190923e61bdeb92567d completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:05 a.m.