Triple
T18290387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amos Bronson Alcott |
E438095
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bronson |
—
|
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: Bronson | Statement: [Amos Bronson Alcott, givenName, Bronson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bronson Context triple: [Amos Bronson Alcott, givenName, Bronson]
-
A.
Bronson
Bronson is a 2008 British biographical crime film in which Tom Hardy portrays the notoriously violent prisoner Charles Bronson.
-
B.
Bronson
Bronson is a small town in Levy County that serves as the county seat in North Central Florida.
-
C.
Bronson
chosen
Bronson is a given name most notably associated with American educator and transcendentalist philosopher Amos Bronson Alcott.
-
D.
Brody
Brody is a surname of English and Irish origin borne by various notable individuals across fields such as entertainment, sports, and public life.
-
E.
Brody
Brody is a historic town in western Ukraine that has long served as a strategic military and trade crossroads in the region.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fee5248190928e68ddaa4d90d7 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.