Triple
T10496803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Debney |
E247557
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Louis Debney |
E247557
|
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: Louis Debney | Statement: [John Debney, father, Louis Debney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Debney Context triple: [John Debney, father, Louis Debney]
-
A.
Louis Debney
chosen
Louis Debney is the father of American film composer John Debney.
-
B.
Louis Barron
Louis Barron was an American electronic music pioneer best known for co-creating the groundbreaking, fully electronic score for the 1956 science fiction film "Forbidden Planet."
-
C.
Roger Devereau
Roger Devereau is the central protagonist of the comedy-thriller film "Silver Streak," around whom the movie’s train-bound mystery and adventure revolve.
-
D.
Carl Segaud
Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
-
E.
Robert Dalban
Robert Dalban was a French character actor known for his prolific work in mid-20th-century French cinema, often appearing in supporting and comedic roles.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098cd82c8190b44127a66c9c75ae |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dd040f48190a645ebd131f9205c |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:24 p.m.