Triple
T10776611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bananas |
E254212
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | David M. Walsh |
E308850
|
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: David M. Walsh | Statement: [Bananas, cinematographer, David M. Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David M. Walsh Context triple: [Bananas, cinematographer, David M. Walsh]
-
A.
David M. Walsh
chosen
David M. Walsh is an American cinematographer known for his work on numerous films, particularly comedies, during the 1970s and 1980s.
-
B.
David Walsh
David Walsh is an Australian professional gambler, art collector, and entrepreneur best known as the founder of Hobart’s provocative Museum of Old and New Art (MONA).
-
C.
Timothy R. R. Walsh
Timothy R. R. Walsh is an academic chemist best known as the doctoral advisor of Nobel Prize–winning biochemist Roger Y. Tsien.
-
D.
Gerard A. Buccafusco
Gerard A. Buccafusco is a local political figure who has served as the mayor of Belmar, New Jersey.
-
E.
Kevin J. Walsh
Kevin J. Walsh is a film producer known for his work on major Hollywood productions, including the 2022 adaptation of "Death on the Nile."
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7329d8c908190bddad40685133ea1 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f416ab88e48190b3089caab7987191 |
completed | May 1, 2026, 2:57 a.m. |
Created at: April 8, 2026, 9:16 p.m.