Triple
T13992844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bailamos |
E336623
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mark Taylor |
E1073729
|
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: Mark Taylor | Statement: [Bailamos, producer, Mark Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Taylor Context triple: [Bailamos, producer, Mark Taylor]
-
A.
Mark Taylor
Mark Taylor is a music producer known for his work on the project "Tissues and Issues."
-
B.
Mark Taylor
chosen
Mark Taylor is a songwriter best known for co-writing the international hit pop song "Bailamos," popularized by Enrique Iglesias.
-
C.
Matthew Hayden
Matthew Hayden is a former Australian opening batsman renowned for his powerful stroke play and prolific run-scoring in international cricket.
-
D.
Martin Taylor
Martin Taylor is a fictional character appearing in the psychological thriller film "Side Effects."
-
E.
Martin Taylor
Martin Taylor is a renowned British jazz guitarist celebrated for his virtuosic solo fingerstyle technique and lyrical, harmonically rich interpretations.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.