Triple
T12060022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torrey C. Brown |
E287141
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Torrey |
E498354
|
NE 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: Torrey | Statement: [Torrey C. Brown, givenName, Torrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torrey Context triple: [Torrey C. Brown, givenName, Torrey]
-
A.
Torrey
Torrey is the botanist who formally described the single-leaf pinyon pine species Pinus monophylla.
-
B.
Torrey
chosen
Torrey is a small town located in Yates County in the Finger Lakes region of New York State.
-
C.
Greer
Greer is a surname most notably associated with Hal Greer, a Hall of Fame American basketball player.
-
D.
Greer
Greer is a small city in South Carolina known for its historic downtown, proximity to both Greenville and Spartanburg, and its role as a regional industrial and transportation hub.
-
E.
Willow Bay
Willow Bay is an American television journalist, author, and former model who has worked as a news anchor for major networks and later became dean of the USC Annenberg School for Communication and Journalism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043dbccc8190bf9da181f826f0d8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f651641c8190bfd1d4d228a36209 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.