Triple
T11624760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Henry Brodribb |
E276235
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | John Henry Brodribb |
E276235
|
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: John Henry Brodribb | Statement: [John Henry Brodribb, birthName, John Henry Brodribb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Henry Brodribb Context triple: [John Henry Brodribb, birthName, John Henry Brodribb]
-
A.
John Henry Brodribb
chosen
John Henry Brodribb, better known as Sir Henry Irving, was a renowned 19th-century English stage actor and the first actor to be knighted.
-
B.
William Brinkley
William Brinkley was an American novelist and journalist best known for his satirical World War II naval novel "Don't Go Near the Water" and the post-apocalyptic submarine thriller "The Last Ship."
-
C.
William Cottrell
William Cottrell was an American screenwriter and director best known for his work on classic Disney animated films in the mid-20th century.
-
D.
William Scudder
William Scudder is a person notable enough to be specifically recorded as a bearer of the surname Scudder.
-
E.
John Bunnell
John Bunnell is a former American sheriff and television personality best known for hosting and narrating dramatic law-enforcement reality shows.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f457dc01ec8190a7ee3108d4d95957 |
completed | May 1, 2026, 7:35 a.m. |
Created at: April 8, 2026, 9:39 p.m.