Triple
T18415025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinie Tempah |
E441862
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Eric Turner |
—
|
NE NERFINISHED |
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: Eric Turner | Statement: [Tinie Tempah, associatedAct, Eric Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Turner Context triple: [Tinie Tempah, associatedAct, Eric Turner]
-
A.
Eric Turner
chosen
Eric Turner is an American singer-songwriter best known for his powerful vocals and collaborations with artists in the pop and electronic music scenes.
-
B.
Mark Turner
Mark Turner is an acclaimed American jazz saxophonist known for his intricate improvisations and influential work in contemporary jazz ensembles.
-
C.
Jim Turner
Jim Turner is an American actor and comedian best known for his role on the HBO sports-agent comedy series "Arliss."
-
D.
Ray Turner
Ray Turner is an actor known for his role in the film "Crashing Towers."
-
E.
Ross Turner
Ross Turner is a name shared by several individuals, most notably an American politician who has served in the South Carolina State Senate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a278fdc8190aa81a2ade682d942 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.