Triple
T16269431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Orford |
E394958
|
entity |
| Predicate | activitySector |
P71
|
FINISHED |
| Object | music industry |
—
|
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: music industry | Statement: [Martin Orford, activitySector, music industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activitySector Context triple: [Martin Orford, activitySector, music industry]
-
A.
industryActivities
Indicates the types of economic or business activities in which an industry or sector is engaged.
-
B.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
C.
placeOfBusinessActivity
Indicates the type or nature of business activity that is conducted at a particular place or location.
-
D.
notableSector
Indicates that an entity is particularly prominent, influential, or significant within a specified sector or industry.
-
E.
sector
chosen
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24608dd20819082f46a64af233038 |
completed | April 17, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.