Triple

T8215034
Position Surface form Disambiguated ID Type / Status
Subject Ward E191911 entity
Predicate hasNotableBearer P458 FINISHED
Object Sela Ward E74972 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: Sela Ward | Statement: [Ward, hasNotableBearer, Sela Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sela Ward
Context triple: [Ward, hasNotableBearer, Sela Ward]
  • A. Sela Ward chosen
    Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
  • B. Luana Patten
    Luana Patten was an American child actress best known for her early work in Walt Disney films during the 1940s and 1950s.
  • C. Maud Adams
    Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
  • D. Lauren Holly
    Lauren Holly is an American-Canadian actress best known for her roles in films like "Dumb and Dumber" and the TV series "NCIS."
  • E. Minka Kelly
    Minka Kelly is an American actress known for her roles in television series such as "Friday Night Lights" and "Parenthood," as well as films including "The Roommate" and "The Butler."
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776c5cd081908259b1c3d12285de completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce023e93248190abbe3cd8ab8194fd completed April 2, 2026, 5:44 a.m.
Created at: March 30, 2026, 5:44 p.m.