Triple
T22079569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Days of Disco |
E545612
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Matt Keeslar |
—
|
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: Matt Keeslar | Statement: [The Last Days of Disco, hasCastMember, Matt Keeslar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Keeslar Context triple: [The Last Days of Disco, hasCastMember, Matt Keeslar]
-
A.
Matt Keeslar
chosen
Matt Keeslar is an American actor known for his work in film and television, including prominent roles in science fiction and fantasy adaptations.
-
B.
Brian Swardstrom
Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
-
C.
Peter Krikes
Peter Krikes is a screenwriter best known for co-writing the science fiction film "Star Trek IV: The Voyage Home."
-
D.
Ed Blumquist
Ed Blumquist is a mild-mannered butcher and central character in the second season of the television series "Fargo," whose life spirals into chaos after a deadly accident involving his wife.
-
E.
Matt O'Leary
Matt O'Leary is an American actor best known for his roles in early 2000s films such as the Spy Kids franchise and various independent and genre movies.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b56d5c8190aa825fe02e3ad917 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.