Triple
T8634166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryce Dessner |
E204477
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | 4AD |
E198312
|
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: 4AD | Statement: [Bryce Dessner, recordLabel, 4AD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 4AD Context triple: [Bryce Dessner, recordLabel, 4AD]
-
A.
4AD
chosen
4AD is a British independent record label known for its influential roster of alternative and indie artists and its distinctive visual and sonic aesthetic.
-
B.
3AD
3AD is a television production company founded by actor Daniel Dae Kim, best known for producing the American medical drama series "The Good Doctor."
-
C.
Taikon
Taikon is a Romani Swedish family name most prominently associated with activist and silversmith Rosa Taikon and her relatives.
-
D.
Art of War
Art of War is a 2000 action thriller film starring Wesley Snipes as a covert operative entangled in an international conspiracy.
-
E.
Xiadu
Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4743d31881908cf9fc3838c4bdd9 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc1b330c81909ff8a6806401dfd1 |
completed | April 2, 2026, 6:57 p.m. |
Created at: March 30, 2026, 6:27 p.m.