Triple

T8372774
Position Surface form Disambiguated ID Type / Status
Subject Montoya E197497 entity
Predicate popularizedBy P4586 FINISHED
Object The Princess Bride E82144 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: The Princess Bride | Statement: [Montoya, popularizedBy, The Princess Bride]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Princess Bride
Context triple: [Montoya, popularizedBy, The Princess Bride]
  • A. The Princess Bride chosen
    The Princess Bride is a beloved 1987 fantasy adventure comedy film that blends romance, swashbuckling action, and witty satire into a modern fairy tale.
  • B. Dragonheart
    Dragonheart is a 1996 fantasy adventure film renowned for its groundbreaking CGI dragon and the voice performance of Sean Connery.
  • C. Willow
    "Willow" is a folk-pop song by American singer-songwriter Taylor Swift, released as the lead single from her 2020 album "Evermore."
  • D. Willow
    Willow is a small community in south-central Alaska known as a gateway to outdoor recreation, including fishing, hiking, and dog mushing.
  • E. Willow
    Willow is a feminine given name often associated with the graceful willow tree and commonly used in English-speaking countries.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a6944081909c4547688c9e70ae completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7dc7c6081909183716901fd2543 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 6:01 p.m.