Triple

T14803849
Position Surface form Disambiguated ID Type / Status
Subject Daniel Baldwin E347978 entity
Predicate hasRelative P367 FINISHED
Object Ireland Baldwin E831433 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: Ireland Baldwin | Statement: [Daniel Baldwin, hasRelative, Ireland Baldwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ireland Baldwin
Context triple: [Daniel Baldwin, hasRelative, Ireland Baldwin]
  • A. Ireland Baldwin chosen
    Ireland Baldwin is an American fashion model and actress, and the daughter of actors Kim Basinger and Alec Baldwin.
  • B. Alaia Baldwin
    Alaia Baldwin is an American fashion model and the daughter of actor Stephen Baldwin.
  • C. Dina Byrnes
    Dina Byrnes is a character in the comedy film "Meet the Parents," portrayed as the warm but sharp-witted wife of Jack Byrnes and mother of Pam.
  • D. Kennya Baldwin
    Kennya Baldwin is a Brazilian-born graphic designer and artist best known as the wife of actor Stephen Baldwin and the mother of model Hailey Bieber.
  • E. Siobhan Fallon Hogan
    Siobhan Fallon Hogan is an American character actress and comedian known for her distinctive supporting roles in films such as "Men in Black," "Forrest Gump," and "Dancer in the Dark," as well as on "Saturday Night Live."
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf30d044819082ac038e06481aab completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c4f690819087504fcfd2df8ba3 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:34 a.m.