Triple

T21042124
Position Surface form Disambiguated ID Type / Status
Subject Mr Sloane E518351 entity
Predicate sexualRelationshipWith P9994 FINISHED
Object Kath NE NERFINISHED

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: [Mr Sloane, sexualRelationshipWith, Kath]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kath
Context triple: [Mr Sloane, sexualRelationshipWith, 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. Kathi
    Kathi is a common German diminutive form of the female given name Katharina.
  • C. Kat chosen
    Kat is a given name, typically used as a shortened or informal form of Kathleen or Katherine.
  • D. Kathy
    Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
  • E. Kathy
    Kathy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Katherine or Kathleen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf0b27881909d1c5b58be387a74 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:15 p.m.