Triple
T14351602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judging Amy |
E355865
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Richard T. Jones |
E494883
|
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: Richard T. Jones | Statement: [Judging Amy, starring, Richard T. Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard T. Jones Context triple: [Judging Amy, starring, Richard T. Jones]
-
A.
Richard T. Jones
chosen
Richard T. Jones is an American actor known for his roles in film and television, including prominent performances in dramas and thrillers.
-
B.
David D. Jones
David D. Jones, better known as Deacon Jones, was a Hall of Fame American football defensive end famed for revolutionizing pass rushing in the NFL.
-
C.
David C. Jones
David C. Jones was a United States Air Force general who served as Chairman of the Joint Chiefs of Staff and Chief of Staff of the Air Force.
-
D.
Kenneth V. Jones
Kenneth V. Jones was a British composer best known for his film and television scores in the mid-20th century.
-
E.
Todd R. Jones
Todd R. Jones is a writer known for his work on the animated film "Rio."
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef5c11708190a7fd4c0682b6ed81 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 1:14 a.m.