Triple
T18049945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Emmanuel |
E431903
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Martin Taylor |
—
|
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: Martin Taylor | Statement: [Tommy Emmanuel, collaboratedWith, Martin Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Taylor Context triple: [Tommy Emmanuel, collaboratedWith, Martin Taylor]
-
A.
Martin Taylor
Martin Taylor is a fictional character appearing in the psychological thriller film "Side Effects."
-
B.
Martin Taylor
chosen
Martin Taylor is a renowned British jazz guitarist celebrated for his virtuosic solo fingerstyle technique and lyrical, harmonically rich interpretations.
-
C.
Richard Hadlee
Richard Hadlee is a legendary New Zealand fast bowler widely regarded as one of the greatest all-rounders in cricket history.
-
D.
Mark Taylor
Mark Taylor is a music producer known for his work on the project "Tissues and Issues."
-
E.
Mark Taylor
Mark Taylor is a songwriter best known for co-writing the international hit pop song "Bailamos," popularized by Enrique Iglesias.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff4a6e08190a5ca8d191aa7f0ae |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.