Triple
T33655744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OakSmash |
E862215
|
entity |
| Predicate | associatedOccupationOfOwner |
P180169
|
FINISHED |
| Object | actor |
—
|
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: actor | Statement: [OakSmash, associatedOccupationOfOwner, actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedOccupationOfOwner Context triple: [OakSmash, associatedOccupationOfOwner, actor]
-
A.
ownerProfession
chosen
Indicates that the profession or occupation is associated with, or held by, the owner of a specified entity.
-
B.
involvedOccupationOf
Indicates that an entity participates in or is associated with a particular occupation or professional role.
-
C.
endedOccupationOf
Indicates that one entity brought another entity’s occupation or control of a place or position to an end.
-
D.
ownerOccupation
Indicates that the occupation or job role of an entity that owns something is being specified or described.
-
E.
employerOrOwnerOf
Indicates that one entity serves as the employer of, or holds ownership over, 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:42 a.m.