Triple

T6068841
Position Surface form Disambiguated ID Type / Status
Subject Beatrice E135226 entity
Predicate hasDiminutive P456 FINISHED
Object Trixie E387858 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: Trixie | Statement: [Beatrice, hasDiminutive, Trixie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trixie
Context triple: [Beatrice, hasDiminutive, Trixie]
  • A. Trixie chosen
    Trixie is Speed Racer’s loyal and daring girlfriend and helicopter pilot in the 2008 live-action film adaptation of the classic racing anime.
  • B. Trixie Delight
    Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
  • C. Tiffy
    Tiffy is a common nickname or diminutive form of the given name Tiffany.
  • D. Tootie
    Tootie is a fictional character best known as the spirited youngest daughter, Agnes "Tootie" Smith, from the classic 1944 film "Meet Me in St. Louis."
  • E. Roxy
    Roxy is a feminine given name, commonly used as a diminutive or nickname for Roxane or Roxanne.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0574157848190bb8e0972eb55a363 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d2f43a88190a7a6834a7624998d completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:10 p.m.