Triple
T16099882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matewan |
E390586
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Gordon Clapp |
E543357
|
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: Gordon Clapp | Statement: [Matewan, castMember, Gordon Clapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gordon Clapp Context triple: [Matewan, castMember, Gordon Clapp]
-
A.
Gordon Clapp
chosen
Gordon Clapp is an American actor best known for his Emmy-winning role as Detective Greg Medavoy on the television series "NYPD Blue."
-
B.
John W. Mills
John W. Mills is a British sculptor renowned for his public monuments and figurative bronze works.
-
C.
LeRoy Apker
LeRoy Apker was an American experimental physicist known for his contributions to solid-state physics and for his work at General Electric.
-
D.
Donald E. Graham
Donald E. Graham is an American businessman and publisher best known for leading The Washington Post through significant periods of journalistic and corporate transformation.
-
E.
Irving S. Cobb
Irving S. Cobb was an American humorist, author, and journalist known for his witty stories and commentary, who also briefly gained prominence in Hollywood circles.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6756948190a7f5ecb375e59701 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff29f9f2881909b96860ee23d8ada |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.