Triple

T15190817
Position Surface form Disambiguated ID Type / Status
Subject The Island E363004 entity
Predicate producer P490 FINISHED
Object Laurie MacDonald E278705 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: Laurie MacDonald | Statement: [The Island, producer, Laurie MacDonald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurie MacDonald
Context triple: [The Island, producer, Laurie MacDonald]
  • A. Laurie MacDonald chosen
    Laurie MacDonald is a prominent American film producer known for her work on major Hollywood features and impactful documentaries.
  • B. Allison MacKenzie
    Allison MacKenzie is a central fictional character in Grace Metalious's novel "Peyton Place," known for her coming-of-age journey amid the scandals and moral conflicts of a small New England town.
  • C. Michelle MacLaren
    Michelle MacLaren is a Canadian television director and producer best known for her acclaimed work on series like Breaking Bad and Game of Thrones.
  • D. Pam MacKinnon
    Pam MacKinnon is a Tony Award–winning American theatre director renowned for her work on contemporary plays and Broadway productions.
  • E. Judy MacPherson
    Judy MacPherson is a central female character in the 1939 adventure-romance film "Only Angels Have Wings," involved in the emotional and dramatic tensions surrounding a group of mail pilots in a remote South American port.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01dc23d081908ad6985bae5741ce completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 3:10 a.m.