Triple
T27795546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Feynman bibliography |
E701197
|
entity |
| Predicate | aboutPersonField |
P163958
|
FINISHED |
| Object | quantum electrodynamics |
—
|
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: quantum electrodynamics | Statement: [Richard Feynman bibliography, aboutPersonField, quantum electrodynamics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aboutPersonField Context triple: [Richard Feynman bibliography, aboutPersonField, quantum electrodynamics]
-
A.
associatedPersonField
Indicates that there is a person linked or connected to the subject in a relevant or contextual way.
-
B.
namedPersonField
Indicates that a particular data field is designated to contain a person’s name.
-
C.
realPersonAffiliation
Indicates a relationship where a real person is formally associated or connected with an organization, group, or entity.
-
D.
namedPersonProfessionalBase
Indicates that a person is professionally associated with or based at a particular organization, institution, or workplace.
-
E.
namedPersonAssociation
Indicates a relationship where one entity is associated with or identified by a specific personal name.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 5:31 p.m.