Triple
T13709473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Innocent Man |
E328730
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Michael Talbott |
E834250
|
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: Michael Talbott | Statement: [The Last Innocent Man, castMember, Michael Talbott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Talbott Context triple: [The Last Innocent Man, castMember, Michael Talbott]
-
A.
Michael Talbott
chosen
Michael Talbott is an American actor best known for his role as Detective Stanley Switek on the 1980s television series "Miami Vice."
-
B.
Kevin Greer
Kevin Greer is a person notable enough to be recognized as a prominent bearer of the surname Greer.
-
C.
Robert Whitman
Robert Whitman is the husband of economist and former General Motors executive Marina von Neumann Whitman.
-
D.
Paul Syverson
Paul Syverson is a computer scientist and cryptographer best known as one of the original designers of onion routing, the privacy technology underlying the Tor anonymity network.
-
E.
J. Christian Bollwage
J. Christian Bollwage is an American Democratic politician who has served for many years as the long-time mayor of Elizabeth, New Jersey.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8cd0280819081c524660f3822f3 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:54 p.m.