Triple

T4441104
Position Surface form Disambiguated ID Type / Status
Subject Twins E95771 entity
Predicate hasCastMember P2308 FINISHED
Object Kelly Preston E439239 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: Kelly Preston | Statement: [Twins, hasCastMember, Kelly Preston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelly Preston
Context triple: [Twins, hasCastMember, Kelly Preston]
  • A. Kelly Preston chosen
    Kelly Preston was an American actress known for her roles in popular films such as "Jerry Maguire," "Twins," and "For Love of the Game."
  • B. Julie Bowen
    Julie Bowen is an American actress best known for her Emmy-winning role as Claire Dunphy on the television sitcom "Modern Family."
  • C. Elizabeth Irene Mitchell
    Elizabeth Irene Mitchell is the birth name of Elizabeth Banks, an American actress, director, and producer known for roles in films such as "The Hunger Games" series and "Pitch Perfect."
  • D. Rita Wilson
    Rita Wilson is an American actress, singer, and producer known for her film and television roles as well as her long-standing marriage to actor Tom Hanks.
  • E. Christina Applegate
    Christina Applegate is an American actress and comedian known for her roles in the sitcom "Married... with Children" and numerous film and television comedies.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ad71588190b1dcad4250472c29 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281264f08190942d2043495c89d5 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:32 p.m.