Triple

T13687852
Position Surface form Disambiguated ID Type / Status
Subject Catalina E328177 entity
Predicate hasShortForm P43 FINISHED
Object Caty E1054468 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: Caty | Statement: [Catalina, hasShortForm, Caty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caty
Context triple: [Catalina, hasShortForm, Caty]
  • A. Catie
    Catie is a diminutive given name, typically used as a familiar or affectionate form of the name Catriona.
  • B. Cate
    Cate is a given name, often used as a short form of Catherine or Katherine.
  • C. Catita chosen
    Catita is a Spanish diminutive form of the female given name Catalina, often used as an affectionate nickname.
  • D. Katerina Kittycat
    Katerina Kittycat is a playful, imaginative kitten and one of Daniel Tiger’s close friends in the children’s animated series "Daniel Tiger’s Neighborhood."
  • E. Clemie
    Clemie is a given name, typically used as a diminutive or variant of the name Clem.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4c52fc8190a93d05c24a8d1513 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:53 p.m.