Triple
T34792960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shreck's Department Store |
E1002994
|
entity |
| Predicate | inUniverseOwnerOccupation |
P22136
|
FINISHED |
| Object | businessman |
—
|
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: businessman | Statement: [Shreck's Department Store, inUniverseOwnerOccupation, businessman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseOwnerOccupation Context triple: [Shreck's Department Store, inUniverseOwnerOccupation, businessman]
-
A.
ownerOccupation
Indicates that the occupation or job role of an entity that owns something is being specified or described.
-
B.
isPrimarilyOwnerOccupiedHousing
Indicates that the housing unit is mainly used as a primary residence by its owner rather than being rented out or vacant.
-
C.
homeOwnershipStatus
Indicates the type or condition of a person's or household's ownership of their place of residence.
-
D.
notableOwnerOccupation
chosen
Indicates that the occupation of an owner is particularly notable or significant in the context of the ownership relationship.
-
E.
inUniverseOwner
Indicates that one entity is the canonical or official owner of another entity within a specific fictional or defined universe or continuity.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 3:59 p.m.