Triple
T19693746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Four record companies |
E472898
|
entity |
| Predicate | typicalSubsidiaries |
P9212
|
FINISHED |
| Object | genre-specific labels |
—
|
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: genre-specific labels | Statement: [Big Four record companies, typicalSubsidiaries, genre-specific labels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSubsidiaries Context triple: [Big Four record companies, typicalSubsidiaries, genre-specific labels]
-
A.
notableSubsidiary
chosen
Indicates that one entity is a subsidiary of another and is particularly significant or prominent among that parent’s subsidiaries.
-
B.
coreSubsidiaryOf
Indicates that one entity is a primary or central subsidiary that is owned or controlled by another entity.
-
C.
subsidiaryOrJointVenture
Indicates that one organization is either a subsidiary of, or a jointly owned venture with, another organization.
-
D.
subsidiaryOrAsset
Indicates that one entity is owned, controlled, or held as a subsidiary company or asset by another entity.
-
E.
manufacturerSubsidiaryOf
Indicates that a manufacturer operates as a subsidiary company that is owned or controlled by another entity.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64211e5d481908358d922e0dca271 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.