Triple
T15056187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pizzafari |
E379497
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pizzafari |
E379497
|
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: Pizzafari | Statement: [Pizzafari, name, Pizzafari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pizzafari Context triple: [Pizzafari, name, Pizzafari]
-
A.
Pizzafari
chosen
Pizzafari is a quick-service, pizza-focused restaurant located on Discovery Island in Disney's Animal Kingdom theme park.
-
B.
Pizzaman
Pizzaman is an electronic music project and alias of British DJ and producer Norman Cook, better known as Fatboy Slim.
-
C.
Big Mizza
Big Mizza is a music producer known for working on Ghostface Killah’s album "Ghostdini: Wizard of Poetry in Emerald City."
-
D.
Playing for Pizza
Playing for Pizza is a sports-themed novel by John Grisham that follows a disgraced American football quarterback who seeks redemption playing in Italy’s professional league.
-
E.
Pizzini
Pizzini is a small locality within the municipality of Valfurva in the Lombardy region of northern Italy, situated in the Italian Alps.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda937f788190899d81bbb2084443 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c11fb4819086c4b85a8d29ccf7 |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3:01 a.m.