Triple
T29769800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Story City |
E755211
|
entity |
| Predicate | hasHistoricObjectManufacturer |
P25149
|
FINISHED |
| Object | Herschell-Spillman Company |
—
|
NE NERFINISHED |
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: Herschell-Spillman Company | Statement: [Story City, hasHistoricObjectManufacturer, Herschell-Spillman Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricObjectManufacturer Context triple: [Story City, hasHistoricObjectManufacturer, Herschell-Spillman Company]
-
A.
hasManufacturerHistory
Indicates that there exists a record of past and/or current manufacturers associated with an entity, capturing changes or continuity in who produced it over time.
-
B.
hasProductionHistory
Indicates that an entity is associated with a record or account of its past production activities, processes, or outputs.
-
C.
formerManufacturer
chosen
Indicates that an entity previously manufactured another entity but no longer does so.
-
D.
hasHistoricalEntity
Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
-
E.
historicalBrandOwner
Indicates that one entity was a past (but not current) owner of a particular brand.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: April 28, 2026, 8:41 p.m.