Triple
T26442930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AC-47 Spooky |
E665135
|
entity |
| Predicate | originatingManufacturer |
P4022
|
FINISHED |
| Object | Douglas Aircraft 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: Douglas Aircraft Company | Statement: [AC-47 Spooky, originatingManufacturer, Douglas Aircraft Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatingManufacturer Context triple: [AC-47 Spooky, originatingManufacturer, Douglas Aircraft Company]
-
A.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
B.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
-
C.
manufacturedBy
chosen
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
D.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
-
E.
originallyBuiltBy
Indicates that something was first constructed or created by a particular agent, organization, or entity.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 26, 2026, 11:59 p.m.