Triple
T12258440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Closer |
E292159
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sarz |
E972942
|
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: Sarz | Statement: [Come Closer, producer, Sarz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarz Context triple: [Come Closer, producer, Sarz]
-
A.
Sarz
chosen
Sarz is a Nigerian record producer and songwriter renowned for crafting hit Afrobeats tracks for major artists across Africa.
-
B.
Sardent
Sardent is a small rural commune in central France, best known as the village setting of Claude Chabrol’s film *Le Beau Serge*.
-
C.
Sarju
Sarju is an alternate name for the Sarayu, a river historically associated with the ancient Indian city of Ayodhya and revered in Hindu tradition.
-
D.
Sark
Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
-
E.
Sarti
Sarti is a coastal village and popular beach resort on the Sithonia peninsula in northern Greece, known for its scenic shoreline and views of Mount Athos.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ccadc3c81908fe68adc3fdcc851 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e63da6081908840b1e37fd39b88 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.