Triple

T1214434
Position Surface form Disambiguated ID Type / Status
Subject Cabell E26076 entity
Predicate hasNotableBearer P458 FINISHED
Object Earle Cabell E2917 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: Earle Cabell | Statement: [Cabell, hasNotableBearer, Earle Cabell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Earle Cabell
Context triple: [Cabell, hasNotableBearer, Earle Cabell]
  • A. Earle Cabell chosen
    Earle Cabell was an American politician and businessman who served as mayor of Dallas, Texas, during the early 1960s, including at the time of President John F. Kennedy’s assassination.
  • B. Ben E. Cabell
    Ben E. Cabell was an American politician who served as mayor of Dallas, Texas, in the early 20th century.
  • C. Earl Roberts
    Earl Roberts is a British noble title created in honor of Lord Roberts, a distinguished military leader of the late 19th and early 20th centuries.
  • D. Johnny Hodges
    Johnny Hodges was a renowned American alto saxophonist best known for his long tenure as a featured soloist in the Duke Ellington Orchestra, where his lyrical, blues-inflected style became a defining sound of the band.
  • E. Bill Cobbs
    Bill Cobbs is an American character actor known for his prolific supporting roles in film and television, including appearances in movies like "Night at the Museum," "Demolition Man," and "The Hudsucker Proxy."
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be0370b4819093618930f4eecfcc completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293648d08190a1c15fe677aa7b8c completed March 8, 2026, 7:45 a.m.
Created at: March 1, 2026, 7:46 p.m.