Triple
T22488818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Nash |
E555961
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Nash |
—
|
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: David Nash | Statement: [David Nash, name, David Nash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Nash Context triple: [David Nash, name, David Nash]
-
A.
David Nash
chosen
David Nash is a British sculptor renowned for his large-scale wooden sculptures and environmental art that often explore the relationship between nature, time, and transformation.
-
B.
David Nash
David Nash is the central defense attorney protagonist in Phillip Margolin’s legal thriller "The Last Innocent Man."
-
C.
Ray Nicolette
Ray Nicolette is a fictional ATF agent who appears in Elmore Leonard’s crime novels and their film adaptations, notably portrayed by Michael Keaton in "Jackie Brown" and "Out of Sight."
-
D.
Nathan C. Wyeth
Nathan C. Wyeth was an American architect best known for designing the first permanent Oval Office in the White House.
-
E.
Jim Woodruff
Jim Woodruff was an American businessman and civic leader from Georgia, best known for his role in promoting regional development projects in the southeastern United States.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3e73108190be5ca89ea96a85e4 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.