Triple

T4419396
Position Surface form Disambiguated ID Type / Status
Subject Lila Lee E95059 entity
Predicate name P16 FINISHED
Object Lila Lee E95059 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: Lila Lee | Statement: [Lila Lee, name, Lila Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lila Lee
Context triple: [Lila Lee, name, Lila Lee]
  • A. Lila Lee chosen
    Lila Lee was a popular American silent film actress of the 1910s and 1920s, known for her girl-next-door charm and roles in major productions of the era.
  • B. Florence Lee
    Florence Lee was an early 20th-century film actress best known for her supporting roles in silent comedies, including work with Charlie Chaplin.
  • C. Alice Lee
    Alice Lee was an American lawyer and the older sister of author Harper Lee, known for her long legal career in Monroeville, Alabama and for helping manage her sister’s affairs.
  • D. Sylvia Moy
    Sylvia Moy was an influential American songwriter and producer best known for her work at Motown Records, where she co-wrote numerous hits for artists such as Stevie Wonder.
  • E. Rita Hsiao
    Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551fae7c8190abafda0d78f02d89 completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613664c548190b5cd0c2667baecc7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:29 p.m.