Triple
T19771804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Pollak's Misery Loves Comedy |
E474904
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Andy Kindler |
—
|
NE NERFINISHED |
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: Andy Kindler | Statement: [Kevin Pollak's Misery Loves Comedy, hasCastMember, Andy Kindler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Kindler Context triple: [Kevin Pollak's Misery Loves Comedy, hasCastMember, Andy Kindler]
-
A.
Andy Kindler
chosen
Andy Kindler is an American stand-up comedian and actor known for his acerbic, self-referential humor and frequent critiques of the comedy industry.
-
B.
Ian Kahn
Ian Kahn is an American actor best known for playing George Washington on the television series "Turn: Washington's Spies."
-
C.
Steve Kindler
Steve Kindler is an American violinist known for his work in jazz fusion and progressive music, including his tenure with the Mahavishnu Orchestra.
-
D.
Josh Weinstock
Josh Weinstock is a film and television producer known for his work on projects such as the drama "Nightingale."
-
E.
Michael D. Rosenthal
Michael D. Rosenthal is a writer best known as the author whose work inspired the "Twilight Zone" episode "A Kind of Stopwatch."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535ce4d08190a1dfca2df95a8631 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.