Triple

T10173135
Position Surface form Disambiguated ID Type / Status
Subject Joan Allen E235781 entity
Predicate notableWork P4 FINISHED
Object Luck E833875 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: Luck | Statement: [Joan Allen, notableWork, Luck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luck
Context triple: [Joan Allen, notableWork, Luck]
  • A. Luck
    "Luck" is a 2022 animated fantasy comedy film about a perpetually unlucky girl who discovers a secret world of good and bad luck.
  • B. Luck chosen
    Luck is an American television drama series centered on the world of horse racing and gambling, known for its ensemble cast and gritty portrayal of the racing industry.
  • C. Chance
    Chance is a masculine given name often associated with notions of luck, opportunity, and fortune.
  • D. Some Luck
    Some Luck is a multigenerational novel by Jane Smiley that follows an Iowa farm family from the 1920s through the mid-20th century, exploring American life through their changing fortunes.
  • E. Suerte
    "Suerte" is a song by Colombian singer José José, known for its romantic Latin pop style.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9f6dd8819081588600499165ee completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3010c386481908bc0c985c0b5ff93 completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.