Triple

T3051169
Position Surface form Disambiguated ID Type / Status
Subject The Hours E83573 entity
Predicate stars P1956 FINISHED
Object Claire Danes E66399 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: Claire Danes | Statement: [The Hours, stars, Claire Danes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Danes
Context triple: [The Hours, stars, Claire Danes]
  • A. Claire Danes chosen
    Claire Danes is an American actress acclaimed for her roles in projects such as the television series "Homeland" and the film "Romeo + Juliet."
  • B. Jennifer Connelly
    Jennifer Connelly is an American actress acclaimed for her versatile performances in films ranging from independent dramas to major Hollywood productions, including her Oscar-winning role in "A Beautiful Mind."
  • C. Michelle Williams
    Michelle Williams is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, earning multiple Academy Award and Golden Globe nominations and wins.
  • D. Michelle Williams
    Michelle Williams is an American singer and actress best known as one of the lead vocalists of the Grammy-winning R&B group Destiny's Child.
  • E. Julianna Margulies
    Julianna Margulies is an American actress best known for her acclaimed television roles on series such as "ER" and "The Good Wife."
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bb1a46081908547a2f27cbf3446 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2034c337481909c1b1ae304b89c24 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:01 p.m.