Triple

T1180931
Position Surface form Disambiguated ID Type / Status
Subject Home for the Holidays E25134 entity
Predicate editor P1954 FINISHED
Object Lynzee Klingman E255310 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: Lynzee Klingman | Statement: [Home for the Holidays, editor, Lynzee Klingman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynzee Klingman
Context triple: [Home for the Holidays, editor, Lynzee Klingman]
  • A. Lynzee Klingman chosen
    Lynzee Klingman was an American film editor known for her work on acclaimed films such as *One Flew Over the Cuckoo’s Nest* and *Little Man Tate*.
  • B. Kirsten Corley
    Kirsten Corley is an American former model and real estate agent best known as the wife of hip-hop artist Chance the Rapper.
  • C. Kay Medford
    Kay Medford was an American stage and screen actress best known for her Tony- and Oscar-nominated portrayal of Fanny Brice’s mother in the musical and film "Funny Girl."
  • D. Lori Collins
    Lori Collins is a central character in the comedy film "Ted," known as John Bennett’s long-suffering girlfriend who pushes him to grow up and choose between her and his crude, living teddy bear best friend.
  • E. Allison Shearmur
    Allison Shearmur was an American film producer known for her work on major franchises including Star Wars, The Hunger Games, and several Disney live-action adaptations.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd32c5f48190b4e2d39fa052cbb7 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae95c9bbfc81909a02cdca9c859d01 completed March 9, 2026, 9:41 a.m.
Created at: March 1, 2026, 7:45 p.m.