Triple

T9802285
Position Surface form Disambiguated ID Type / Status
Subject Eric Serra E237867 entity
Predicate composedMusicFor P1142 FINISHED
Object Lucy E178792 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: Lucy | Statement: [Eric Serra, composedMusicFor, Lucy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucy
Context triple: [Eric Serra, composedMusicFor, Lucy]
  • A. Lucy
    Lucy is a feminine given name of Latin origin meaning "light," commonly used in many English-speaking and European countries.
  • B. Lucy chosen
    "Lucy" is a 2014 science fiction action film directed by Luc Besson, in which Scarlett Johansson plays a woman who gains extraordinary mental and physical abilities after a drug enters her system.
  • C. Lucy
    Lucy is the given name of Lucy Flucker Knox, the wife of American Revolutionary War General Henry Knox and a notable figure in early American history.
  • D. Lucy
    Lucy is a fictional lion character, likely depicted with anthropomorphic traits in a narrative or animated context.
  • E. Lucy
    Lucy is a NASA Discovery Program space mission designed to study Jupiter’s Trojan asteroids to better understand the early solar system’s formation and evolution.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62b41048190bcef70a7591830c6 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc53c3dc819084a4d8b72164a172 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:29 p.m.