Triple
T7849194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spin City |
E182000
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Richard Kind |
E236480
|
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 Kind | Statement: [Spin City, starring, Richard Kind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Kind Context triple: [Spin City, starring, Richard Kind]
-
A.
Richard Kind
chosen
Richard Kind is an American character actor known for his comedic roles in television and film, including extensive voice work in animated movies.
-
B.
Michael Klingensmith
Michael Klingensmith is an American media executive best known for helping launch and lead major magazine brands, including playing a key role in the creation of Entertainment Weekly.
-
C.
Michael Daves
Michael Daves is an American bluegrass and roots musician known for his high-energy vocal style and collaborations with prominent artists such as mandolinist Chris Thile.
-
D.
Ken Kaufman
Ken Kaufman is an American screenwriter known for his work on major studio films, including the Western thriller "The Missing."
-
E.
Don Mullaly
Don Mullaly was an American screenwriter active during Hollywood’s early sound era, known for contributing to genre films including the 1933 horror-mystery classic "Mystery of the Wax Museum."
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18e989ac819090e459b77d8932d3 |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b0515c08190b866a39749d54849 |
completed | March 31, 2026, 5:26 a.m. |
Created at: March 30, 2026, 4:50 p.m.