Triple
T18239279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berton Churchill |
E436763
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Berton |
—
|
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: Berton | Statement: [Berton Churchill, givenName, Berton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berton Context triple: [Berton Churchill, givenName, Berton]
-
A.
Berton
chosen
Berton is the middle name of James B. Rhoads, who served as Archivist of the United States from 1968 to 1979.
-
B.
Brenan
Brenan is a given name and surname that serves as a spelling variant of Brennen.
-
C.
Van Doude
Van Doude was a Dutch-born French actor known for his supporting roles in European cinema, including appearances in classic films of the 1950s and 1960s.
-
D.
William Buckley
William Buckley is the son of American political satirist and novelist Christopher Buckley.
-
E.
William Buckley
William Buckley is a historical English convict whose survival and integration into an Aboriginal Australian community inspired the protagonist of Alan Garner’s novel "Strandloper."
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e19d9881908d6a227528241e4a |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.