Triple
T13400092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meeting of Minds |
E319803
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | KCET |
E5677
|
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: KCET | Statement: [Meeting of Minds, productionCompany, KCET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KCET Context triple: [Meeting of Minds, productionCompany, KCET]
-
A.
KCET
chosen
KCET is a Los Angeles-based public television station and producer known for creating and distributing influential educational and science programming.
-
B.
KCEW
KCEW is the ICAO airport code for Bob Sikes Airport in Crestview, Florida, a public airport serving general aviation and regional air traffic.
-
C.
KCAE
KCAE is the ICAO airport code for Columbia Metropolitan Airport, a primary commercial airport serving the Columbia, South Carolina area.
-
D.
KCPS
KCPS is the ICAO airport code for St. Louis Downtown Airport, a public airport serving the St. Louis metropolitan area.
-
E.
KCSM
KCSM is the Mexican subsidiary of the Kansas City Southern railway company, operating freight rail services across key industrial and cross-border corridors in Mexico.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae47e99081909d8b5dba97a11988 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730745a248190b32c11eeee618864 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.