Triple

T16983065
Position Surface form Disambiguated ID Type / Status
Subject Carmen Lowell E411992 entity
Predicate hasHalfSibling P54212 FINISHED
Object Krista E375468 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: Krista | Statement: [Carmen Lowell, hasHalfSibling, Krista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krista
Context triple: [Carmen Lowell, hasHalfSibling, Krista]
  • A. Krista chosen
    Krista is a feminine given name, typically considered a variant of Christina and used in various European and English-speaking countries.
  • B. Kristi
    Kristi is a feminine given name commonly used in English-speaking countries, often as a variant of Kristy or Christina.
  • C. Kristen
    Kristen is a central female character in the romantic comedy film "Think Like a Man," whose love life and personal growth are explored through the movie’s ensemble relationship dynamics.
  • D. Kristen
    Kristen is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • E. Kristen
    Kristen is the birth name of Kris Jenner, the American television personality and matriarch of the Kardashian–Jenner family.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d188ede48190baead48aac84c78d completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0d437c81908f003a10b798998a completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.