Triple
T27795545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Feynman bibliography |
E701197
|
entity |
| Predicate | aboutPersonNationality |
P78054
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Richard Feynman bibliography, aboutPersonNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aboutPersonNationality Context triple: [Richard Feynman bibliography, aboutPersonNationality, American]
-
A.
nationalityOfPersonReferredTo
chosen
Indicates that one entity is the country or nationality associated with the person referenced by the other entity.
-
B.
officeHolderNationality
Indicates that the nationality of an office holder is a specified country or nation.
-
C.
honorsPersonNationality
Indicates that an entity honors, recognizes, or pays tribute to a person specifically in relation to that person's nationality.
-
D.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
-
E.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:31 p.m.