Triple
T11970156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald Lippitt |
E284895
|
entity |
| Predicate | usedTheory |
P7760
|
FINISHED |
| Object | field theory |
—
|
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: field theory | Statement: [Ronald Lippitt, usedTheory, field theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTheory Context triple: [Ronald Lippitt, usedTheory, field theory]
-
A.
appliesTheory
chosen
Indicates that an entity uses or implements a particular theory in analyzing, explaining, or addressing something.
-
B.
hasTheory
Indicates that an entity possesses, is associated with, or is characterized by a particular theory.
-
C.
theorized
Indicates that one entity has proposed or developed a theoretical explanation or hypothesis about another entity or phenomenon.
-
D.
followsTheoryOf
Indicates that one entity adheres to, is based on, or is guided by the theoretical framework or principles established by another entity.
-
E.
supportsTheory
Indicates that one entity provides evidence, justification, or endorsement for the validity or acceptance of another entity’s theory.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037bee54819085242a3ef3e286f9 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.