Triple
T22967994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Fertitta III |
E571101
|
entity |
| Predicate | positionHeld |
P8
|
FINISHED |
| Object | Chief Executive Officer of Station Casinos |
—
|
NE NERFINISHED |
How this triple was built (3 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: Chief Executive Officer of Station Casinos | Statement: [Frank Fertitta III, positionHeld, Chief Executive Officer of Station Casinos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chief Executive Officer of Station Casinos Context triple: [Frank Fertitta III, positionHeld, Chief Executive Officer of Station Casinos]
-
A.
Chief Executive Officer of First Data Corporation
The Chief Executive Officer of First Data Corporation is the top executive responsible for overseeing the company’s overall strategy, operations, and financial performance in the global payment processing and financial services industry.
-
B.
Chief Financial Officer of Clear Channel Communications
The Chief Financial Officer of Clear Channel Communications is the senior executive responsible for overseeing the company’s financial strategy, planning, and reporting.
-
C.
CEO of King
The CEO of King is the chief executive leading King, the video game company best known for creating the popular mobile game Candy Crush Saga.
-
D.
Chief Executive Officer of NetJets
The Chief Executive Officer of NetJets is the top executive responsible for leading the world’s largest fractional jet ownership and private aviation company.
-
E.
Chief Executive Officer of Shine Group
The Chief Executive Officer of Shine Group is the top executive responsible for overseeing the television production company's global strategy, operations, and creative output.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chief Executive Officer of Station Casinos Target entity description: The Chief Executive Officer of Station Casinos is the top executive responsible for overseeing the strategic direction, operations, and overall management of the Station Casinos gaming and hospitality company.
-
A.
Chief Executive Officer of First Data Corporation
The Chief Executive Officer of First Data Corporation is the top executive responsible for overseeing the company’s overall strategy, operations, and financial performance in the global payment processing and financial services industry.
-
B.
Chief Financial Officer of Clear Channel Communications
The Chief Financial Officer of Clear Channel Communications is the senior executive responsible for overseeing the company’s financial strategy, planning, and reporting.
-
C.
CEO of King
The CEO of King is the chief executive leading King, the video game company best known for creating the popular mobile game Candy Crush Saga.
-
D.
Chief Executive Officer of NetJets
The Chief Executive Officer of NetJets is the top executive responsible for leading the world’s largest fractional jet ownership and private aviation company.
-
E.
Chief Executive Officer of Shine Group
The Chief Executive Officer of Shine Group is the top executive responsible for overseeing the television production company's global strategy, operations, and creative output.
- F. None of above. chosen
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.