Triple
T8008736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panda |
E186428
|
entity |
| Predicate | beatProducerNationality |
P27800
|
FINISHED |
| Object | British |
—
|
LITERAL 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: British | Statement: [Panda, beatProducerNationality, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beatProducerNationality Context triple: [Panda, beatProducerNationality, British]
-
A.
primaryVocalistNationality
Indicates the nationality or country affiliation of the person who serves as the primary vocalist for a musical act or performance.
-
B.
producerNationality
chosen
Indicates that a producer has a particular national affiliation or country of origin.
-
C.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
D.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
E.
originalPerformerNationality
Indicates the country or national identity associated with the performer who first performed the work or role.
- F. None of above.
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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d6f76408190a1312369521a187a |
completed | March 31, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:19 p.m.