Triple
T21623362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Lakoff |
E533633
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | George Philip Lakoff |
—
|
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: George Philip Lakoff | Statement: [George Lakoff, fullName, George Philip Lakoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Philip Lakoff Context triple: [George Lakoff, fullName, George Philip Lakoff]
-
A.
George Lakoff
chosen
George Lakoff is an American cognitive linguist known for his work on conceptual metaphor and the role of embodied cognition in shaping human thought and language.
-
B.
Harold Pinker
Harold Pinker is a clergyman and recurring comic character in P. G. Wodehouse’s Jeeves and Wooster stories, notably connected with Stephanie "Stiffy" Byng.
-
C.
Michael Kenstowicz
Michael Kenstowicz is an American linguist and phonologist known for his influential work on generative phonology and for co-authoring widely used textbooks in the field.
-
D.
Paul Kiparsky
Paul Kiparsky is a prominent linguist known for his influential work in generative phonology and historical linguistics.
-
E.
Larry Gopnik
Larry Gopnik is a mild-mannered Jewish physics professor in 1960s Minnesota whose life unravels in a darkly comic exploration of faith, misfortune, and moral ambiguity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef521125f481909ccfc95d884976e2 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.