Triple
T2060940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clyde's |
E45786
|
entity |
| Predicate | firstProductionType |
P35536
|
FINISHED |
| Object | stage production |
—
|
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: stage production | Statement: [Clyde's, firstProductionType, stage production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstProductionType Context triple: [Clyde's, firstProductionType, stage production]
-
A.
firstGenerationProduction
Indicates that the production or creation of something belongs to its initial or earliest generation in a sequence or lineage.
-
B.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
-
C.
firstProducedAt
Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
-
D.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
E.
eligibleProductionType
Indicates that a given entity qualifies for or is allowed to participate in a specified type or category of production.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d0ecf08190aec20338a6ba9911 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb92f90a881909a1f10b060132a9e |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:40 p.m.