Triple
T33798629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Meek |
E866143
|
entity |
| Predicate | foundedLabel |
P125374
|
FINISHED |
| Object | Triumph Records |
—
|
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: Triumph Records | Statement: [Joe Meek, foundedLabel, Triumph Records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedLabel Context triple: [Joe Meek, foundedLabel, Triumph Records]
-
A.
labelFounded
chosen
Indicates that one entity established or created another entity, typically marking the origin or founding event.
-
B.
foundedFrom
Indicates that an entity was established or originated starting from a particular source, place, or prior entity.
-
C.
foundationFoundedIn
Indicates that a foundation was established or came into existence in a specific year or time period.
-
D.
foundedFor
Indicates that an entity was established or created specifically to serve, support, or benefit another entity or purpose.
-
E.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: May 1, 2026, 1:46 a.m.