Triple
T6505963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eldorado Resorts |
E150007
|
entity |
| Predicate | brandAfterMerger |
P1501
|
FINISHED |
| Object | Caesars Rewards loyalty program (through successor) |
—
|
LITERAL 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: Caesars Rewards loyalty program (through successor) | Statement: [Eldorado Resorts, brandAfterMerger, Caesars Rewards loyalty program (through successor)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandAfterMerger Context triple: [Eldorado Resorts, brandAfterMerger, Caesars Rewards loyalty program (through successor)]
-
A.
parentCompanyAfterMerger
Indicates that one company is the resulting parent company of another following a merger.
-
B.
formerBrand
chosen
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
C.
brandRevivedBy
Indicates that a previously inactive, discontinued, or defunct brand has been brought back into use or reintroduced by a specific agent or entity.
-
D.
affiliationAfterMerger
Indicates that an entity becomes affiliated with another entity as a result of a merger that occurs after a specified point in time.
-
E.
mergerResultedIn
Indicates that a merger between entities led to the creation, change, or outcome represented by the related entity or state.
- F. None of above.
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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.