Triple

T15973639
Position Surface form Disambiguated ID Type / Status
Subject Kristopher Humphries E387383 entity
Predicate givenName P17 FINISHED
Object Kristopher E387383 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: Kristopher | Statement: [Kristopher Humphries, givenName, Kristopher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristopher
Context triple: [Kristopher Humphries, givenName, Kristopher]
  • A. Kristopher chosen
    Kristopher is the full given name of Kris Humphries, an American former professional basketball player known for his NBA career and brief marriage to Kim Kardashian.
  • B. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • C. Jeffrey
    "Jeffrey" is a comedic stage play by Paul Rudnick that follows a gay man in New York City navigating love and relationships during the height of the AIDS crisis.
  • D. Kristopher Carter
    Kristopher Carter is an American composer best known for his dynamic, award-winning musical scores for animated superhero television series and films.
  • E. Kenneth
    Kenneth is a central male character in the darkly comic stage play "The Woman Who Cooked Her Husband," whose infidelity and subsequent fate drive the plot’s themes of betrayal and revenge.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572b667c8190b28d0556e45422bb completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8ce7788190a3e0aefc9a29d58a completed May 9, 2026, 11:09 p.m.
Created at: April 10, 2026, 4:54 a.m.