Triple

T7471862
Position Surface form Disambiguated ID Type / Status
Subject Crawford E176525 entity
Predicate hasNotableBearer P458 FINISHED
Object Broderick Crawford E238532 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: Broderick Crawford | Statement: [Crawford, hasNotableBearer, Broderick Crawford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broderick Crawford
Context triple: [Crawford, hasNotableBearer, Broderick Crawford]
  • A. Broderick Crawford chosen
    Broderick Crawford was an American actor best known for his Academy Award-winning role in the film "All the King's Men" and for starring in the television series "Highway Patrol."
  • B. Willard Mack
    Willard Mack was a Canadian-born American playwright, actor, and director known for his successful stage works that were frequently adapted into films during the early 20th century.
  • C. Boyd Holbrook
    Boyd Holbrook is an American actor and former model known for roles in films like "Logan" and "Gone Girl" and the Netflix series "Narcos."
  • D. Joseph Borden McKean
    Joseph Borden McKean was an American lawyer and jurist who served as Attorney General of Pennsylvania in the early 19th century.
  • E. George O’Brien
    George O’Brien was an American film actor best known as a leading man in silent-era Westerns and adventure films who successfully transitioned into sound cinema.
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f415b5cc81909e1e097c90f460b6 completed March 27, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83480a40c8190a7ae3e08022735a1 completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:41 p.m.