Triple
T22967983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Fertitta III |
E571101
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fertitta |
—
|
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: Fertitta | Statement: [Frank Fertitta III, familyName, Fertitta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fertitta Context triple: [Frank Fertitta III, familyName, Fertitta]
-
A.
Fertitta
chosen
Fertitta is an American family name most prominently associated with billionaire entrepreneurs and casino magnates involved in businesses like Station Casinos and the former ownership of the UFC.
-
B.
Fassan
Fassan is a variant name for the Ladin language spoken in the Fassa Valley of northern Italy.
-
C.
Fertagus
Fertagus is a private suburban rail operator serving the Lisbon metropolitan area, notably running commuter trains across the 25 de Abril Bridge between Lisbon and the Setúbal Peninsula.
-
D.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
E.
Faeto
Faeto is a small town in southern Italy known for its unique linguistic heritage, including the rare Franco-Provençal dialect Faetar.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182301f388190bb39e3d5b356dc65 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.