Triple
T21802315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Salovey |
E538266
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Salovey |
—
|
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: Salovey | Statement: [Peter Salovey, familyName, Salovey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salovey Context triple: [Peter Salovey, familyName, Salovey]
-
A.
Salovey
chosen
Salovey is the surname of Peter Salovey, an American social psychologist and former president of Yale University.
-
B.
Diener
Diener is a surname most notably associated with Ed Diener, an influential American psychologist renowned for his pioneering research on happiness and subjective well-being.
-
C.
Sternberg
Sternberg is a surname of German and Ashkenazi Jewish origin borne by various notable individuals across fields such as psychology, business, and the arts.
-
D.
Strack
Strack is a German surname most notably borne by Johann Heinrich Strack, a 19th-century architect.
-
E.
Lovellette
Lovellette is the surname of Clyde Lovellette, a Hall of Fame American basketball player known for his collegiate success at Kansas and NBA career in the 1950s and 1960s.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780062688190a6c3a2a0364f0f77 |
completed | April 28, 2026, 9:04 a.m. |
Created at: April 16, 2026, 6:53 p.m.