Triple
T23436030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 18 Again |
E563462
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | JTBC Studios |
—
|
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: JTBC Studios | Statement: [18 Again, productionCompany, JTBC Studios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JTBC Studios Context triple: [18 Again, productionCompany, JTBC Studios]
-
A.
JTBC Studios
chosen
JTBC Studios is a South Korean television and film production company known for creating popular and critically acclaimed dramas and entertainment content.
-
B.
JTBC
JTBC is a South Korean nationwide cable and satellite television network known for its high-quality dramas, news, and variety programming.
-
C.
JTBC Plus
JTBC Plus is a South Korean media and entertainment company under the JTBC network, known for producing and managing diverse content and cultural events.
-
D.
KTBC
KTBC is a Fox-owned television station serving the Austin, Texas market.
-
E.
GTG Entertainment
GTG Entertainment was a television production company co-founded by influential TV executive Grant Tinker after his tenure at NBC.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dbdf248190a09e971f2718d01f |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.