Triple
T14165438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omni Hotels & Resorts |
E351060
|
entity |
| Predicate | loyaltyProgramName |
P37953
|
FINISHED |
| Object |
Select Guest
Select Guest is the customer loyalty program of Omni Hotels & Resorts, offering members rewards, perks, and personalized benefits for their stays.
|
E1083060
|
NE FINISHED |
How this triple was built (4 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: Select Guest | Statement: [Omni Hotels & Resorts, loyaltyProgramName, Select Guest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Select Guest Context triple: [Omni Hotels & Resorts, loyaltyProgramName, Select Guest]
-
A.
Galas
Galas is a prestigious showcase section of the London Film Festival featuring high-profile premieres and red-carpet screenings.
-
B.
Guye
Guye is a given name and surname used as a variant spelling of the name Guy.
-
C.
Ben Gashir
Ben Gashir is a district of Tripoli, Libya, situated near the city’s main international airport.
-
D.
Gus
Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
-
E.
Gus
Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Select Guest Triple: [Omni Hotels & Resorts, loyaltyProgramName, Select Guest]
Generated description
Select Guest is the customer loyalty program of Omni Hotels & Resorts, offering members rewards, perks, and personalized benefits for their stays.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Select Guest Target entity description: Select Guest is the customer loyalty program of Omni Hotels & Resorts, offering members rewards, perks, and personalized benefits for their stays.
-
A.
Galas
Galas is a prestigious showcase section of the London Film Festival featuring high-profile premieres and red-carpet screenings.
-
B.
Guye
Guye is a given name and surname used as a variant spelling of the name Guy.
-
C.
Ben Gashir
Ben Gashir is a district of Tripoli, Libya, situated near the city’s main international airport.
-
D.
Gus
Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
-
E.
Gus
Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
- F. None of above. chosen
Provenance (5 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b207cc8190b85b1ff0910b54da |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f57ad88190aeb8ee0f834bfa20 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fcfdcbd53c81909a347e26b30f9c0b |
completed | May 7, 2026, 9:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcfe9099508190bafd65d0d00129f0 |
completed | May 7, 2026, 9:05 p.m. |
Created at: April 10, 2026, 1 a.m.