Triple

T20298073
Position Surface form Disambiguated ID Type / Status
Subject Cracker E505404 entity
Predicate starring P1507 FINISHED
Object Barbara Flynn 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: Barbara Flynn | Statement: [Cracker, starring, Barbara Flynn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbara Flynn
Context triple: [Cracker, starring, Barbara Flynn]
  • A. Barbara Flynn chosen
    Barbara Flynn is a British actress known for her versatile work in television dramas, comedies, and period pieces since the 1970s.
  • B. Barbara O'Neil
    Barbara O'Neil was an American actress best known for her supporting roles in classic Hollywood films of the 1930s and 1940s, including her Oscar-nominated performance in "Gone with the Wind."
  • C. Beth O'Neil
    Beth O'Neil is a film producer best known for her work on the independent drama "Jack Goes Boating."
  • D. Patricia Malone
    Patricia Malone was a British actress and singer, best known as the mother of stage and screen star Sally Ann Howes.
  • E. Barbara Fitts
    Barbara Fitts is a fictional character from the film "American Beauty," portrayed as the emotionally withdrawn wife of Colonel Frank Fitts.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770a2cec8190912d6b0dbabc78bc completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.