Triple
T9374334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hog Hill Mill Studio |
E225610
|
entity |
| Predicate | hasOwnerOccupation |
P38273
|
FINISHED |
| Object | musician |
—
|
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: musician | Statement: [Hog Hill Mill Studio, hasOwnerOccupation, musician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOwnerOccupation Context triple: [Hog Hill Mill Studio, hasOwnerOccupation, musician]
-
A.
ownerOccupation
chosen
Indicates that the occupation or job role of an entity that owns something is being specified or described.
-
B.
notableOwnerOccupation
Indicates that the occupation of an owner is particularly notable or significant in the context of the ownership relationship.
-
C.
ownsOrLeases
Indicates that one entity has legal rights to use or control another entity either through ownership or through a lease agreement.
-
D.
ownsPropertyIn
Indicates that one entity possesses legal ownership rights over property located within a specified place or jurisdiction.
-
E.
hasHouseWithin
Indicates that one entity possesses or is associated with a house that is located within the spatial or administrative boundaries of 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50a8b6f48190b77d93a172c54953 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6c733881908aa3070830c2100b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:43 p.m.