Triple

T5417730
Position Surface form Disambiguated ID Type / Status
Subject Entertaining Mr Sloane E121171 entity
Predicate featuresCharacter P626 FINISHED
Object Kath E151965 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: Kath | Statement: [Entertaining Mr Sloane, featuresCharacter, Kath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kath
Context triple: [Entertaining Mr Sloane, featuresCharacter, Kath]
  • A. Kath
    Kath is an ancient city in the Khwarazm region of Central Asia, historically significant as a cultural and scholarly center of the Islamic Golden Age.
  • B. Kat chosen
    Kat is a given name, typically used as a shortened or informal form of Kathleen or Katherine.
  • C. Kathy
    Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
  • D. Kathryn
    Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
  • E. Kati
    Kati is an Indo-Iranian Nuristani ethnic group and language community native to the mountainous Nuristan region of eastern Afghanistan.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e620f081909eb9a5e1f284e5a2 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aadfa4c81908b57af80f534b121 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.