Triple

T3365019
Position Surface form Disambiguated ID Type / Status
Subject Amy Irving E70814 entity
Predicate sibling P363 FINISHED
Object Katie Irving E271092 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: Katie Irving | Statement: [Amy Irving, sibling, Katie Irving]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Irving
Context triple: [Amy Irving, sibling, Katie Irving]
  • A. Katie Irving chosen
    Katie Irving is known primarily as the daughter of American theater director and producer Jules Irving.
  • B. Katie Lucas
    Katie Lucas is an American screenwriter and actress best known for her work on the animated series "Star Wars: The Clone Wars" and as the daughter of filmmaker George Lucas.
  • C. Katie Leyland
    Katie Leyland is known as the wife of longtime Major League Baseball manager Jim Leyland.
  • D. Katie Morosky
    Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
  • E. Katie Nolan
    Katie Nolan is a fictional character from Betty Smith's novel "A Tree Grows in Brooklyn," known as the hardworking, pragmatic mother of the Nolan family.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb28643f48190b78b0222f8323344 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3254daf8c8190b2141682503c111e completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.