Triple
T10703090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiffani |
E252327
|
entity |
| Predicate | isVariantOf |
P455
|
FINISHED |
| Object | Tiffany |
E51374
|
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: Tiffany | Statement: [Tiffani, isVariantOf, Tiffany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiffany Context triple: [Tiffani, isVariantOf, Tiffany]
-
A.
Tiffany
chosen
Tiffany is a feminine given name of Greek origin, commonly associated with the feast of Epiphany and used in various English-speaking countries.
-
B.
Tiffany
Tiffany is a murderous doll and central villain in the Child's Play/Chucky horror film series, known for her gothic style, dark humor, and twisted romance with Chucky.
-
C.
Tiffany & Co.
Tiffany & Co. is a renowned American luxury jewelry and specialty retailer famous for its diamond engagement rings, sterling silver, and iconic blue boxes.
-
D.
Tifanie
Tifanie is a given name, typically a feminine variant of the name Tiffany.
-
E.
Tiffany Case
Tiffany Case is a fictional diamond smuggler and Bond girl who appears as a major character in Ian Fleming’s James Bond story "Diamonds Are Forever."
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fddd28d481908abc5c1d4e5a9f3e |
completed | April 9, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb703b1ec8190b11fbb381c929a90 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:12 p.m.