Triple

T9780973
Position Surface form Disambiguated ID Type / Status
Subject Barely Lethal E237369 entity
Predicate castMember P1668 FINISHED
Object Jessica Alba E237840 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: Jessica Alba | Statement: [Barely Lethal, castMember, Jessica Alba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Alba
Context triple: [Barely Lethal, castMember, Jessica Alba]
  • A. Jessica Alba chosen
    Jessica Alba is an American actress and businesswoman known for her roles in films like "Fantastic Four" and for founding the consumer goods company The Honest Company.
  • B. Jessica Biel
    Jessica Biel is an American actress and producer known for her roles in the TV series "7th Heaven" and films such as "The Texas Chainsaw Massacre" and "The Illusionist."
  • C. Cameron Diaz
    Cameron Diaz is an American actress known for her roles in hit films such as "There's Something About Mary," "Charlie's Angels," and "Shrek."
  • D. Jolie Gabor
    Jolie Gabor was a Hungarian-American jeweler and socialite best known as the glamorous matriarch of the Gabor family of actresses and celebrities.
  • E. Katherine Heigl
    Katherine Heigl is an American actress and former fashion model best known for her roles in the television series "Grey's Anatomy" and various romantic comedy films.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b0b15881909ef52d0156148c59 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5a8564081908b315d2cf68c8e14 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:27 p.m.