Triple

T7506494
Position Surface form Disambiguated ID Type / Status
Subject Becky Ann Baker E177402 entity
Predicate spouse P13 FINISHED
Object Dylan Baker E307629 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: Dylan Baker | Statement: [Becky Ann Baker, spouse, Dylan Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dylan Baker
Context triple: [Becky Ann Baker, spouse, Dylan Baker]
  • A. Dylan Baker chosen
    Dylan Baker is an American character actor known for his versatile roles in film, television, and theater, including appearances in movies like "Planes, Trains and Automobiles" and the "Spider-Man" series.
  • B. Clarke Peters
    Clarke Peters is an American actor, writer, and director best known for his roles in acclaimed television series such as The Wire and Treme, as well as numerous film and stage performances.
  • C. George Sowards
    George Sowards is an actor known for his role in the film "Shotgun."
  • D. Joel Murray
    Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
  • E. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b5fcd88190ab4ab0ba96a6aa4b completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4e9b3348190a24823ff9ad3431e completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:45 p.m.