Triple

T9968774
Position Surface form Disambiguated ID Type / Status
Subject Abbey Lee E195750 entity
Predicate name P16 FINISHED
Object Abbey Lee E195750 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: Abbey Lee | Statement: [Abbey Lee, name, Abbey Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbey Lee
Context triple: [Abbey Lee, name, Abbey Lee]
  • A. Abbey Lee chosen
    Abbey Lee is an Australian model and actress best known for her role as one of the wives in the post-apocalyptic action film "Mad Max: Fury Road."
  • B. Gaby Lee
    Gaby Lee is an early stage name used by the acclaimed American jazz vocalist, songwriter, and civil rights activist Abbey Lincoln.
  • C. Leah Lee
    Leah Lee was the wife of French Symbolist poet Jules Laforgue, known primarily through her association with his brief, influential life and work.
  • D. Abby Park
    Abby Park is an energetic, passionate, and fiercely loyal friend in Pixar's animated film "Turning Red," known for her bold personality and love of boy bands.
  • E. Joie Lee
    Joie Lee is an American actress, screenwriter, and producer best known for her frequent collaborations with her brother Spike Lee in films exploring African-American life and culture.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b683ac8190ac97bd775a860d29 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dc117f48190ad66dd62f9833a10 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:47 p.m.