Triple

T7631032
Position Surface form Disambiguated ID Type / Status
Subject Heaven & Earth E172758 entity
Predicate screenwriter P2831 FINISHED
Object Le Ly Hayslip E680489 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: Le Ly Hayslip | Statement: [Heaven & Earth, screenwriter, Le Ly Hayslip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Ly Hayslip
Context triple: [Heaven & Earth, screenwriter, Le Ly Hayslip]
  • A. Le Ly Hayslip chosen
    Le Ly Hayslip is a Vietnamese-American writer and humanitarian best known for her memoirs about surviving the Vietnam War and their adaptation into the film "Heaven & Earth."
  • B. Dede Allen
    Dede Allen was a pioneering American film editor renowned for her innovative, influential cutting style on landmark movies of the New Hollywood era.
  • C. Amy Lou Adams
    Amy Lou Adams is an acclaimed American actress known for her versatile performances in both comedic and dramatic films, including roles in "Enchanted," "American Hustle," and "Arrival."
  • D. Frances Dee
    Frances Dee was an American film actress of the 1930s and 1940s, known for her poised, refined screen presence in dramas and literary adaptations.
  • E. Jo Francis
    Jo Francis is a film editor best known for her work on the crime drama film "In the Valley of Elah."
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa85c57c8190acfd33e0c890c2f9 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a2159cd0819085bfdb8c7694077b completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:56 p.m.