Triple
T19576708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Stone: Thin Ice |
E489873
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | CBS Television |
—
|
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: CBS Television | Statement: [Jesse Stone: Thin Ice, distributor, CBS Television]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBS Television Context triple: [Jesse Stone: Thin Ice, distributor, CBS Television]
-
A.
CBS Television Stations
CBS Television Stations is a group of American broadcast television stations that serve as the owned-and-operated local outlets for the CBS television network.
-
B.
CBS television network
chosen
CBS television network is a major American broadcast television network known for its long-running scripted series, news programs, and wide-reaching national audience.
-
C.
CBS
CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
-
D.
CBS
CBS is the acronym for the Central Bank of Somalia, the country’s primary monetary authority responsible for issuing currency and overseeing financial stability.
-
E.
CBS
CBS is the Curtin Business School, a leading Australian institution offering business education and research as part of Curtin University.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64024c5b08190bbff6df633857874 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.