Triple

T8315412
Position Surface form Disambiguated ID Type / Status
Subject Gary Dauberman E194693 entity
Predicate notableWork P4 FINISHED
Object Annabelle E195774 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: Annabelle | Statement: [Gary Dauberman, notableWork, Annabelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annabelle
Context triple: [Gary Dauberman, notableWork, Annabelle]
  • A. Annabelle chosen
    Annabelle is a horror film centered on a malevolent possessed doll, serving as a spin-off and prequel within The Conjuring cinematic universe.
  • B. Annabelle Apsion
    Annabelle Apsion is a British actress known for her work in television and film, including prominent roles in series such as "Shameless" and "Call the Midwife."
  • C. Annabelle's Affairs
    Annabelle's Affairs is a 1931 American pre-Code romantic comedy film starring Sally Blane.
  • D. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • E. The Nun
    The Nun is a 1966 French drama film directed by Jacques Rivette, adapted from Denis Diderot’s novel about a young woman forced into convent life and struggling against religious oppression.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f540b2081908ccb1b2ed040c74e completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9583fa8081909778288f4c96de72 completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:55 p.m.