Triple
T14650370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death & Co. |
E343965
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Death & Co. |
E343965
|
NE 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: Death & Co. | Statement: [Death & Co., name, Death & Co.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Death & Co. Context triple: [Death & Co., name, Death & Co.]
-
A.
Death & Co.
chosen
Death & Co. is a renowned New York City cocktail bar and influential craft cocktail institution known for its innovative drinks and role in shaping modern mixology.
-
B.
Speakeasy
Speakeasy is a stand-up comedy special by Malaysian comedian Ronny Chieng, known for its sharp observational humor and commentary on modern life.
-
C.
Bacchus Lounge
Bacchus Lounge is a themed bar and lounge within the Shanghai Disneyland Hotel offering drinks and light refreshments in a relaxed, Disney-inspired setting.
-
D.
The Brewhouse
The Brewhouse is a historic former naval brewery building within Plymouth’s Royal William Yard that has been converted into a mixed-use space with apartments, offices, and leisure facilities.
-
E.
Pike & Rose
Pike & Rose is a mixed-use urban neighborhood development in North Bethesda, Maryland, featuring retail, dining, residential, and entertainment spaces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ed037c8190a87bf43f839fec05 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d9ab188190934deb57fd6d9a56 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.