Triple

T15632239
Position Surface form Disambiguated ID Type / Status
Subject Ghost World E375843 entity
Predicate producer P490 FINISHED
Object Lianne Halfon E267897 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: Lianne Halfon | Statement: [Ghost World, producer, Lianne Halfon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lianne Halfon
Context triple: [Ghost World, producer, Lianne Halfon]
  • A. Lianne Halfon chosen
    Lianne Halfon is an American film producer known for her work on acclaimed independent films such as "Juno," "Young Adult," and "Ghost World."
  • B. Rachel Fannan
    Rachel Fannan is an American singer and songwriter best known for her work in psychedelic and indie rock projects, including collaborations with bands like Sleepy Sun and Black Mountain.
  • C. Tanya Biank
    Tanya Biank is an American journalist and author known for her in-depth reporting and books on the lives and challenges of military families.
  • D. Liana Telfer
    Liana Telfer is a mysterious and seductive supporting character in the supernatural thriller film "The Ninth Gate," involved in occult intrigues surrounding a rare demonic book.
  • E. Leora Watts
    Leora Watts is a bold, sexually assertive landlady in Flannery O’Connor’s novel "Wise Blood," known for her coarse humor and role in challenging the protagonist’s religious obsessions.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00d445c4848190b5c97bb27be6c749 completed May 10, 2026, 6:53 p.m.
Created at: April 10, 2026, 4:14 a.m.