Triple
T12239500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Brabourne |
E291689
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Brabourne |
E291689
|
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 Brabourne | Statement: [John Brabourne, name, John Brabourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Brabourne Context triple: [John Brabourne, name, John Brabourne]
-
A.
John Brabourne
chosen
John Brabourne was a British film and television producer, known for his adaptations of classic literature and for being the son-in-law of Lord Mountbatten.
-
B.
Anthony Bevan
Anthony Bevan was a British orientalist and scholar of Semitic languages known for his contributions to the study of Arabic and Hebrew texts.
-
C.
Ian Burchnall
Ian Burchnall is an English football manager known for his coaching roles in Scandinavian and lower-league English clubs.
-
D.
Henry Braham
Henry Braham is a British cinematographer known for his work on major films such as The Suicide Squad, Guardians of the Galaxy Vol. 2, and Nanny McPhee.
-
E.
Frank Bannister
Frank Bannister is a psychic investigator and con artist who can see and communicate with ghosts in the horror-comedy film "The Frighteners."
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb45340819093365f8efdf85f75 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f726570a2481909f417be6e38d283a |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 8, 2026, 9:51 p.m.