Triple

T3269075
Position Surface form Disambiguated ID Type / Status
Subject Carine E68597 entity
Predicate hasRelatedName P3889 FINISHED
Object Katie unclear NED1 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 | Statement: [Carine, hasRelatedName, Katie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie
Context triple: [Carine, hasRelatedName, Katie]
  • A. 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.
  • B. Kaitlin
    Kaitlin is a feminine given name commonly used in English-speaking countries, often considered a variant of Caitlin or Kathleen.
  • C. Kathryn
    Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
  • D. Katie Rommely
    Katie Rommely is the immigrant mother of the protagonist in Betty Smith’s novel "A Tree Grows in Brooklyn," later known by her married name Katie Nolan.
  • E. Kathy
    Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafd0eddc8190834a64f6b8e8e9f9 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a698ab08190b558c4ff3f9b27fc completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:09 p.m.