Triple

T747501
Position Surface form Disambiguated ID Type / Status
Subject Christopher Longuet-Higgins E15375 entity
Predicate givenName P17 FINISHED
Object Christopher E16453 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: Christopher | Statement: [Christopher Longuet-Higgins, givenName, Christopher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher
Context triple: [Christopher Longuet-Higgins, givenName, Christopher]
  • A. Christopher chosen
    Christopher is the full given name of Chris Sununu, an American politician who has served as governor of New Hampshire.
  • B. Robert
    Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • C. Thomas
    Thomas is the given name of Confederate General "Stonewall" Jackson, a prominent military leader during the American Civil War.
  • D. Thomas
    Thomas is a common masculine given name of Aramaic origin, widely used in English-speaking and many other cultures.
  • E. Thomas
    Thomas is the full given name of Tom Brady, the legendary NFL quarterback widely regarded as one of the greatest players in American football history.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62dd1bc819094a3814654448ae3 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c88f89481908914e4f4c36cd009 completed March 8, 2026, 6:51 a.m.
Created at: March 1, 2026, 7:37 p.m.