Triple
T11157623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Things to Do in Denver When You're Dead |
E263950
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Bill Nunn |
E362581
|
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: Bill Nunn | Statement: [Things to Do in Denver When You're Dead, starring, Bill Nunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Nunn Context triple: [Things to Do in Denver When You're Dead, starring, Bill Nunn]
-
A.
Bill Nunn
chosen
Bill Nunn was an American character actor best known for his memorable supporting roles in films like "Do the Right Thing" and the "Spider-Man" trilogy.
-
B.
Brian Dutcher
Brian Dutcher is an American college basketball coach best known for leading the San Diego State Aztecs to national prominence, including a run to the 2023 NCAA championship game.
-
C.
Chip Hardesty
Chip Hardesty is the fictional FBI agent protagonist of the 1959 film "The FBI Story," whose career dramatizes the Bureau’s history and major cases.
-
D.
Doug Bowne
Doug Bowne is a musician best known for his work with the new wave band Tom Tom Club.
-
E.
Gregg Palmer
Gregg Palmer was an American character actor known for his rugged roles in Westerns and mid-20th-century Hollywood films.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e87fe9a881909540ecc4ed9b6b9f |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6037fdf80819091fb2c8bf128582d |
completed | April 20, 2026, 10:44 a.m. |
Created at: April 8, 2026, 9:28 p.m.