Triple
T9781340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KTLA |
E237379
|
entity |
| Predicate | hasProgram |
P178
|
FINISHED |
| Object | KTLA 5 Weekend News |
E237379
|
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: KTLA 5 Weekend News | Statement: [KTLA, hasProgram, KTLA 5 Weekend News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTLA 5 Weekend News Context triple: [KTLA, hasProgram, KTLA 5 Weekend News]
-
A.
KTLA
chosen
KTLA is a major Los Angeles television station known as one of the oldest continuously operating TV stations in the United States and a prominent affiliate of The CW network.
-
B.
KABC-TV
KABC-TV is a major ABC-owned television station serving the Los Angeles, California media market.
-
C.
Channel 5 News
Channel 5 News is a fictional local television news station featured in the animated series "Family Guy."
-
D.
NewsCenter 5
NewsCenter 5 is the flagship local news program brand of Boston television station WCVB-TV, known for its comprehensive regional news coverage.
-
E.
KNTV
KNTV is a television station serving the San Francisco Bay Area, operating as the local NBC owned-and-operated affiliate.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b23cb88190b458ab18d5f7f493 |
completed | April 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd2e5f4c81908a3c132df6440947 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:27 p.m.