Triple
T11902858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Broun |
E283197
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Broun |
E458807
|
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: Broun | Statement: [Christian Broun, familyName, Broun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broun Context triple: [Christian Broun, familyName, Broun]
-
A.
Broun
chosen
Broun is an alternative spelling or variant of the surname "Brown," commonly found in historical and regional records.
-
B.
Heflin
Heflin is a small city in eastern Alabama that serves as the administrative and commercial hub of Cleburne County.
-
C.
Vance
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
-
D.
Christian Broun
Christian Broun was a Scottish noblewoman best known as the mother of James Broun-Ramsay, 1st Marquess of Dalhousie, who served as Governor-General of India in the mid-19th century.
-
E.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1792648190853f15fbf217eebd |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4183d29b081908cfbf4d91a365681 |
completed | May 1, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:44 p.m.