Triple

T5309913
Position Surface form Disambiguated ID Type / Status
Subject Howard E118997 entity
Predicate hasNotableBearer P458 FINISHED
Object Bryce Dallas Howard E15460 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: Bryce Dallas Howard | Statement: [Howard, hasNotableBearer, Bryce Dallas Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryce Dallas Howard
Context triple: [Howard, hasNotableBearer, Bryce Dallas Howard]
  • A. Bryce Dallas Howard chosen
    Bryce Dallas Howard is an American actress and director known for roles in films such as "The Village," "Jurassic World," and "Rocketman," as well as for directing episodes of "The Mandalorian."
  • B. Makena Lautner
    Makena Lautner is the younger sister of American actor Taylor Lautner, known for maintaining a relatively private life outside of her brother’s fame.
  • C. Haley Hudson
    Haley Hudson is an American actress best known for her roles in horror and supernatural films and television series.
  • D. Taylor Russell
    Taylor Russell is a Canadian actress best known for her breakout role in the Netflix sci-fi series "Lost in Space" and acclaimed performances in films such as "Waves" and "Bones and All."
  • E. Jessica Lucas
    Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8532c26c819084f5b8de542cd309 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ffb1f08190aba4c1c860085c92 completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.