Triple
T77491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detlev W. Bronk |
E1549
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Bronk |
E1549
|
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: Bronk | Statement: [Detlev W. Bronk, hasSurname, Bronk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bronk Context triple: [Detlev W. Bronk, hasSurname, Bronk]
-
A.
Bronk
chosen
Bronk is a surname most notably associated with Detlev W. Bronk, an influential American scientist and educator who helped shape modern biophysics and higher education policy.
-
B.
Angus
Angus is a historic county and region on the east coast of Scotland known for its rural landscapes, agriculture, and coastal towns.
-
C.
Frick
Frick is a surname most prominently associated with American industrialist and art patron Henry Clay Frick.
-
D.
Texas Eagle
The Texas Eagle is a long-distance Amtrak passenger train route running between Chicago and San Antonio, known for traversing the central United States through states like Illinois, Missouri, Arkansas, and Texas.
-
E.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f1d20b88190b66836cc018e52e1 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26241d4c08190885dab6aef75dcf3 |
completed | Feb. 28, 2026, 3:34 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.