Triple

T16698941
Position Surface form Disambiguated ID Type / Status
Subject The Portrait E405790 entity
Predicate associatedWith P37 FINISHED
Object Cecilia Peck NE NERFINISHED

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 Peck | Statement: [The Portrait, associatedWith, Cecilia Peck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cecilia Peck
Context triple: [The Portrait, associatedWith, Cecilia Peck]
  • A. Cecilia Peck chosen
    Cecilia Peck is an American actress, documentary filmmaker, and producer, and the daughter of legendary actor Gregory Peck.
  • B. Cecilia Parker
    Cecilia Parker was a Canadian-born American film actress best known for playing Marian Hardy, the sister of Mickey Rooney’s character, in the popular Andy Hardy film series of the 1930s and 1940s.
  • C. Peggy Crosby
    Peggy Crosby is best known as the wife of influential quality management expert and author Philip B. Crosby.
  • D. Audrey Purcell
    Audrey Purcell is one of the children of actor Dominic Purcell, known for his role in the television series "Prison Break."
  • E. Vina Wray
    Vina Wray is an alternate name for Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832f550c8190bf7514d4611dec6a completed April 18, 2026, 1:12 p.m.
Created at: April 10, 2026, 5:19 a.m.