Triple

T14307696
Position Surface form Disambiguated ID Type / Status
Subject Tiffani Thiessen E354739 entity
Predicate givenName P17 FINISHED
Object Tiffani E252327 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: Tiffani | Statement: [Tiffani Thiessen, givenName, Tiffani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiffani
Context triple: [Tiffani Thiessen, givenName, Tiffani]
  • A. Tiffani chosen
    Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
  • B. Tiana Brown
    Tiana Brown is a fictional pop and R&B singer and performer from the television series "Empire," known for her ambitious career and tumultuous relationship with Andre Lyon.
  • C. Tiffany Rivers
    Tiffany Rivers is the longtime wife of former NFL quarterback Philip Rivers, known for their large family and her involvement in charitable and community activities.
  • D. Tiffany Valentine
    Tiffany Valentine is a prominent horror film character known as the murderous doll bride and partner of Chucky in the Child’s Play/Chucky franchise.
  • E. Bridgette
    Bridgette is a feminine given name commonly used in English-speaking countries, often considered a variant of "Bridget."
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b156b0819083f2bd319deed1b6 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c36a8b48190a3987b1026b3da65 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:12 a.m.