Triple

T20248011
Position Surface form Disambiguated ID Type / Status
Subject Taystee E498474 entity
Predicate nickname P55 FINISHED
Object Taystee NE NERFINISHED

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: Taystee | Statement: [Taystee, nickname, Taystee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taystee
Context triple: [Taystee, nickname, Taystee]
  • A. Taystee chosen
    Taystee is a central character in the television series "Orange Is the New Black," known for her intelligence, humor, and leadership among the inmates at Litchfield Penitentiary.
  • B. Ta’aisha
    The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
  • C. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • D. Stevonne
    Stevonne is the given first name of former NFL wide receiver and sports analyst Steve Smith Sr.
  • E. Stevonnie
    Stevonnie is a powerful, non-binary fusion character from the animated series "Steven Universe," formed by the merging of Steven Universe and his friend Connie Maheswaran.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a5ce4081908dff86ed4c613fd6 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:40 p.m.