Triple
T6463640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exit Wounds |
E142179
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tom Arnold |
E369336
|
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: Tom Arnold | Statement: [Exit Wounds, starring, Tom Arnold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Arnold Context triple: [Exit Wounds, starring, Tom Arnold]
-
A.
Tom Arnold
chosen
Tom Arnold is an American actor and comedian known for his roles in film and television, as well as for his work on the sitcom "Roseanne."
-
B.
Jeff Buchanan
Jeff Buchanan is a professional editor, likely working in publishing or media, known for collaborating on written content such as articles or manuscripts.
-
C.
Howard Deutch
Howard Deutch is an American film and television director best known for helming several iconic 1980s John Hughes films, including "Pretty in Pink" and "Some Kind of Wonderful."
-
D.
John Pankow
John Pankow is an American actor best known for his role as Ira Buchman on the television sitcom "Mad About You" and for numerous supporting roles in film and theater.
-
E.
Ted McGinley
Ted McGinley is an American actor best known for his roles on television series such as "Married... with Children," "Happy Days," and "The Love Boat."
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f9b58081909412b9da753b9285 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64be78ae48190b38390ed245694fb |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:49 p.m.