Triple
T35701599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold F. Pitcairn |
E1031599
|
entity |
| Predicate | heldPatentOn |
P183836
|
FINISHED |
| Object | autogyro rotor head improvements |
—
|
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: autogyro rotor head improvements | Statement: [Harold F. Pitcairn, heldPatentOn, autogyro rotor head improvements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldPatentOn Context triple: [Harold F. Pitcairn, heldPatentOn, autogyro rotor head improvements]
-
A.
hasPatentGrant
Indicates that a patent grant exists conferring legal protection or rights to an entity for a specific invention or intellectual property.
-
B.
hasPatentPortfolioIn
Indicates that an entity holds or manages one or more patents within a specified jurisdiction, region, or technical domain.
-
C.
patentIn
Indicates that one entity holds or is associated with a patent located, filed, or registered in a particular jurisdiction, organization, or context represented by the other entity.
-
D.
grantedPatentAs
Indicates that a patent has been officially granted to an entity in a specified role or capacity.
-
E.
numberOfPatents
Indicates the count of patents associated with a given entity.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.