Triple

T13283708
Position Surface form Disambiguated ID Type / Status
Subject Four Christmases E316385 entity
Predicate mainCharacter P1183 FINISHED
Object Kate E57561 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: Kate | Statement: [Four Christmases, mainCharacter, Kate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate
Context triple: [Four Christmases, mainCharacter, Kate]
  • A. Kate chosen
    Kate is a common diminutive form of the given name Catherine, frequently used in English-speaking countries.
  • B. Kate
    Kate is the Allied reporting name for the Nakajima B5N, a Japanese World War II carrier-based torpedo bomber aircraft.
  • C. Anne
    Anne is the birth name of Nancy Reagan, the former First Lady of the United States and wife of President Ronald Reagan.
  • D. Anne
    Anne was the ship on which the 17th-century English sailor and later Ceylon captive Robert Knox served during his voyages.
  • E. Anne
    Anne of Palatinate-Simmern was a 16th-century German noblewoman from the House of Wittelsbach who became Electress Palatine through marriage to Elector Frederick III.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99047531c819087aa6406de1ddc82 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a592d748190b55129515f71e979 completed May 3, 2026, 8:42 a.m.
Created at: April 9, 2026, 9:27 p.m.