Triple

T20656447
Position Surface form Disambiguated ID Type / Status
Subject Little Annie Rooney (1925 film) E507637 entity
Predicate starring P1507 FINISHED
Object Walter James 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: Walter James | Statement: [Little Annie Rooney (1925 film), starring, Walter James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter James
Context triple: [Little Annie Rooney (1925 film), starring, Walter James]
  • A. Walter James chosen
    Walter James was an American character actor active in early 20th-century film, known for supporting roles in silent and early sound movies.
  • B. Walter Carroll
    Walter Carroll was the husband of acclaimed American stage and screen actress Julie Harris.
  • C. Walter Dix
    Walter Dix is an American sprinter known for winning multiple Olympic bronze medals in the 100m and 200m at the 2008 Beijing Games.
  • D. Walter Briggs
    Walter Briggs is a fictional character appearing in John Updike’s short story collection "Pigeon Feathers and Other Stories."
  • E. Walter James Westmore
    Walter James Westmore was an American Hollywood makeup artist and member of the renowned Westmore family of film makeup artists.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2ed48308190b9350a323b9a7952 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.