Triple
T3113447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyatt Hotels Corporation |
E65002
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Andaz
Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
|
E327754
|
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: Andaz | Statement: [Hyatt Hotels Corporation, owns, Andaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andaz Context triple: [Hyatt Hotels Corporation, owns, Andaz]
-
A.
Andaandi
Andaandi is a Nubian language variety spoken primarily in the Dongola region of northern Sudan.
-
B.
Aayega Aanewala
"Aayega Aanewala" is a landmark Hindi film song from the 1949 movie Mahal, celebrated for its haunting melody and for bringing playback singer Lata Mangeshkar to national prominence.
-
C.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
D.
Rang De Basanti
Rang De Basanti is a 2006 Indian Hindi-language drama film that blends contemporary youth activism with historical patriotism, known for its impactful storytelling and acclaimed music.
-
E.
Gaga Bhatt
Gaga Bhatt was a prominent 17th-century Hindu scholar and priest from Varanasi, best known for officiating the royal coronation of the Maratha ruler Shivaji.
- 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: Andaz Triple: [Hyatt Hotels Corporation, owns, Andaz]
Generated description
Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andaz Target entity description: Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
-
A.
Andaandi
Andaandi is a Nubian language variety spoken primarily in the Dongola region of northern Sudan.
-
B.
Aayega Aanewala
"Aayega Aanewala" is a landmark Hindi film song from the 1949 movie Mahal, celebrated for its haunting melody and for bringing playback singer Lata Mangeshkar to national prominence.
-
C.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
D.
Rang De Basanti
Rang De Basanti is a 2006 Indian Hindi-language drama film that blends contemporary youth activism with historical patriotism, known for its impactful storytelling and acclaimed music.
-
E.
Gaga Bhatt
Gaga Bhatt was a prominent 17th-century Hindu scholar and priest from Varanasi, best known for officiating the royal coronation of the Maratha ruler Shivaji.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43c79448190aa72f707319e8c5e |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2039b11d4819095ee77d84d6e7b8a |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20563abdc8190a51e1cfbcc6e0075 |
completed | March 12, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205f1b3c08190a63fd9494dc8aee8 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:04 p.m.