Triple
T17488814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum-Go-Round |
E425844
|
entity |
| Predicate | productionTypeContext |
P127650
|
FINISHED |
| Object | studio set |
—
|
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: studio set | Statement: [Museum-Go-Round, productionTypeContext, studio set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionTypeContext Context triple: [Museum-Go-Round, productionTypeContext, studio set]
-
A.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
-
B.
productionCategory
Indicates the classification or type of production process, output, or activity that an entity is associated with.
-
C.
productionAreaType
Indicates the type or category of area where a product or resource is produced.
-
D.
eligibleProductionType
Indicates that a given entity qualifies for or is allowed to participate in a specified type or category of production.
-
E.
productionFacilityType
Indicates the specific kind or category of facility where production or manufacturing activities take place.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d461308190844c143dcfb61fac |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.