Triple
T21290880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Beech |
E524784
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Danny Bennett |
—
|
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: Danny Bennett | Statement: [Patricia Beech, hasChild, Danny Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Bennett Context triple: [Patricia Beech, hasChild, Danny Bennett]
-
A.
Danny Bennett
chosen
Danny Bennett is an American music producer and longtime manager best known for guiding the later career of his father, legendary singer Tony Bennett.
-
B.
Dan Dugmore
Dan Dugmore is an American session musician and steel guitarist known for his work with prominent country and rock artists.
-
C.
Digby Pearson
Digby Pearson is a British music executive best known as the founder of the influential extreme metal label Earache Records.
-
D.
Alex Pugsley
Alex Pugsley is a Canadian writer and screenwriter known for his work in television and fiction.
-
E.
Finley Hobbins
Finley Hobbins is a young American actor best known for his role in Disney’s live-action adaptation of "Dumbo" (2019).
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736da28648190ae3f63c6ba1f6d6f |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:04 p.m.