Triple
T34364272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Likey |
E881964
|
entity |
| Predicate | hasSubunitFocus |
P200499
|
FINISHED |
| Object | Nayeon focus scenes |
—
|
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: Nayeon focus scenes | Statement: [Likey, hasSubunitFocus, Nayeon focus scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubunitFocus Context triple: [Likey, hasSubunitFocus, Nayeon focus scenes]
-
A.
hasSubunits
Indicates that an entity is composed of or organized into smaller constituent units that are part of its structure.
-
B.
hasSubunitName
Indicates that an entity includes or is associated with a named subunit or component as part of its structure or organization.
-
C.
subunitOf
Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
-
D.
typicalSubunitOf
Indicates that something is a standard or commonly occurring subcomponent or part of a larger whole.
-
E.
hasSubfacility
Indicates that one facility is a subordinate or component facility within another, larger facility.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff90b673248190b4dda9e005642d17 |
completed | May 9, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69ff8d5bee1081909274052945e98a6f |
completed | May 9, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69ff90b5b98881909620033d78e4a9b8 |
completed | May 9, 2026, 7:53 p.m. |
Created at: May 1, 2026, 1:58 a.m.