Triple
T27090758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crane household |
E686159
|
entity |
| Predicate | setDesignerInReality |
P161843
|
FINISHED |
| Object | television production design team |
—
|
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: television production design team | Statement: [Crane household, setDesignerInReality, television production design team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setDesignerInReality Context triple: [Crane household, setDesignerInReality, television production design team]
-
A.
stageDesigner
Indicates that one entity is responsible for designing or creating the stage or set for a performance or event in relation to another entity.
-
B.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
C.
designersInUniverse
Indicates that certain designers exist or are present within a specified universe or conceptual domain.
-
D.
designTarget
Indicates that one entity is the intended goal, objective, or focus that another entity is being designed or developed to address or achieve.
-
E.
officeHeldByDesigner
Indicates that a particular office or official position is occupied or held by a given designer.
- F. None of above. chosen
Provenance (4 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62349888081908305958558907967 |
completed | May 2, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 8:40 a.m.