Triple
T13726007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feel Good |
E329654
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Syd |
E329645
|
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: Syd | Statement: [Feel Good, producer, Syd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syd Context triple: [Feel Good, producer, Syd]
-
A.
Syd
chosen
Syd is an American singer, songwriter, producer, and founding member of the alternative R&B band The Internet, known for her smooth vocals and genre-blending sound.
-
B.
Syd
Syd is a character from the TV series "One Day at a Time," known for being Elena Alvarez's non-binary romantic partner.
-
C.
Syrdon
Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
-
D.
Rawson
Rawson is a city in Argentina that serves as one of the main urban centers of San Juan Province.
-
E.
Rawson
Rawson is a coastal city in southern Argentina that serves as the capital of Chubut Province and an important administrative and fishing center in Patagonia.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d60cd048190b20c4e6f49f816a6 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.