Triple
T16685382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho Yeo-jeong |
E405448
|
entity |
| Predicate | debutInTelevision |
P60224
|
FINISHED |
| Object | 1997 |
—
|
LITERAL 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: 1997 | Statement: [Cho Yeo-jeong, debutInTelevision, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutInTelevision Context triple: [Cho Yeo-jeong, debutInTelevision, 1997]
-
A.
televisionDebutNetwork
Indicates the television network on which an entity (such as a show or person) first appeared or made its debut.
-
B.
debutInCinema
Indicates that a film or work is first publicly released or shown in movie theaters.
-
C.
firstAppearanceTV
Indicates the television show or episode in which an entity is depicted or mentioned for the first time.
-
D.
madeProfessionalDebutIn
chosen
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
E.
introducedOnTV
Indicates that an entity was first presented, revealed, or made known to the public through a television broadcast.
- F. None of above.
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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea550c0819085bd36c44237a61a |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.