Triple

T16457283
Position Surface form Disambiguated ID Type / Status
Subject Knocked Up E399715 entity
Predicate starring P1507 FINISHED
Object Katherine Heigl E658798 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: Katherine Heigl | Statement: [Knocked Up, starring, Katherine Heigl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katherine Heigl
Context triple: [Knocked Up, starring, Katherine Heigl]
  • A. Katherine Heigl chosen
    Katherine Heigl is an American actress and former fashion model best known for her roles in the television series "Grey's Anatomy" and various romantic comedy films.
  • B. Jessica Witherspoon
    Jessica Witherspoon is a fictional character known primarily as a member of Gus Witherspoon’s family in the television series "Our House."
  • C. Jennifer Love Hewitt
    Jennifer Love Hewitt is an American actress and singer best known for her roles in 1990s and 2000s film and television, including the horror and teen drama genres.
  • D. Kate Hudson
    Kate Hudson is an American actress known for her roles in romantic comedies and dramas, including her performance in the 2010 crime film "The Killer Inside Me."
  • E. Jessica Biel
    Jessica Biel is an American actress and producer known for her roles in the TV series "7th Heaven" and films such as "The Texas Chainsaw Massacre" and "The Illusionist."
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7dfd188190b03e9b4151a4d3d8 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f51d93081909ede0adcf8e604d4 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.