Triple

T5558060
Position Surface form Disambiguated ID Type / Status
Subject Courage (1930 film) E145696 entity
Predicate stars P1956 FINISHED
Object Belle Bennett E27475 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: Belle Bennett | Statement: [Courage (1930 film), stars, Belle Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belle Bennett
Context triple: [Courage (1930 film), stars, Belle Bennett]
  • A. Belle Bennett chosen
    Belle Bennett was an American stage and silent film actress best known for her emotionally powerful performances in early 20th-century cinema.
  • B. Belle
    Belle is a supporting character in the 2018 heist thriller film "Widows," involved in the criminal plot led by a group of women in Chicago.
  • C. Belle
    Belle is the intelligent, book-loving heroine of Disney’s "Beauty and the Beast," known for her compassion, independence, and iconic yellow ball gown.
  • D. Daisy Gardner
    Daisy Gardner is a hobbit of the Shire, one of the daughters of Samwise Gamgee and Rosie Cotton in J.R.R. Tolkien’s Middle-earth legendarium.
  • E. Adeline
    Adeline is the virtuous and persecuted heroine of Ann Radcliffe’s Gothic novel "The Romance of the Forest."
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201529a88190bf0135e032b048ea completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d7658a481909e9e9b29df2b148e completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:36 p.m.