Triple
T5949259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O Yeong-su |
E132355
|
entity |
| Predicate | isVeteranActor |
P66940
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [O Yeong-su, isVeteranActor, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVeteranActor Context triple: [O Yeong-su, isVeteranActor, true]
-
A.
goldenAgeTelevisionActor
Indicates that a person is an actor who performed in television productions during the medium’s Golden Age.
-
B.
activeYearsInFilm
Indicates the span of years during which an entity was actively involved in film-related work or roles.
-
C.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
D.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
-
E.
supportingActorAwardRecipient
Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
- F. None of above. chosen
Provenance (4 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03edf98b881908e9dbc03d3fd6218 |
completed | March 22, 2026, 7:11 p.m. |
Created at: March 22, 2026, 4:02 p.m.