Triple
T20049794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James G. Birney |
E499162
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Birney |
—
|
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: Birney | Statement: [James G. Birney, familyName, Birney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birney Context triple: [James G. Birney, familyName, Birney]
-
A.
Birney
chosen
Birney is a surname most notably associated with Earle Birney, a prominent Canadian poet and writer.
-
B.
Binnie
Binnie is the surname of Brian Binnie, a Scottish-American test pilot and astronaut known for flying SpaceShipOne on its historic suborbital spaceflights.
-
C.
Benvie
Benvie is a small rural parish in Angus, Scotland, historically notable as the birthplace of mathematician and geologist John Playfair.
-
D.
Lovejoy
Lovejoy is a surname most notably associated with Thomas E. Lovejoy, an influential American biologist and conservationist known for pioneering work in biodiversity.
-
E.
Lovejoy
Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632cccb481908278c8b2930a8c26 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:37 p.m.