Triple

T11343643
Position Surface form Disambiguated ID Type / Status
Subject Bruce Weitz E268661 entity
Predicate spouse P13 FINISHED
Object Cecilia Hart E680085 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: Cecilia Hart | Statement: [Bruce Weitz, spouse, Cecilia Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cecilia Hart
Context triple: [Bruce Weitz, spouse, Cecilia Hart]
  • A. Cecilia Hart chosen
    Cecilia Hart was an American actress known for her work on stage and screen and for her longtime marriage to actor James Earl Jones.
  • B. Cecilia Noble
    Cecilia Noble is a British actress known for her work in theatre, television, and film, often praised for her strong character roles and comedic timing.
  • C. Emma Marling
    Emma Marling is a pediatric surgeon on the television series "Grey's Anatomy" who briefly dates Owen Hunt.
  • D. Elizabeth Kortright
    Elizabeth Kortright was an American socialite who became First Lady of the United States as the wife of President James Monroe.
  • E. Quintessa Swindell
    Quintessa Swindell is an American actor known for their breakout role in the HBO drama series "In Treatment" and for appearing in films such as "Black Adam."
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1e360c8190a02d1e2d1d6f4b5d completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d320c39c8190a3d28aa065ededea completed April 20, 2026, 7:17 a.m.
Created at: April 8, 2026, 9:33 p.m.