Triple
T13694258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stomp the Yard |
E328343
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | David Checel |
E467287
|
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 Checel | Statement: [Stomp the Yard, editedBy, David Checel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Checel Context triple: [Stomp the Yard, editedBy, David Checel]
-
A.
David Checel
chosen
David Checel is a film editor known for his work on major Hollywood productions, including the 2010 action film "The Losers."
-
B.
Marcus Raboy
Marcus Raboy is an American music video and film director known for his work with major hip-hop and R&B artists.
-
C.
Rob Beschizza
Rob Beschizza is a writer, editor, and designer best known for his work as a co-editor of the influential tech and culture blog Boing Boing.
-
D.
Adrian Suter
Adrian Suter is a Swiss mathematician known for his contributions to graph theory and discrete mathematics.
-
E.
Glenn Weiss
Glenn Weiss is an American television producer and director best known for helming numerous live awards shows, including multiple Academy Awards ceremonies.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794514afc8190b334b1fc74a6cdd5 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.