Triple
T18030615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikaika Kahoano |
E431377
|
entity |
| Predicate | groupStatus |
P129418
|
FINISHED |
| Object | left O-Town before the group’s official debut |
—
|
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: left O-Town before the group’s official debut | Statement: [Ikaika Kahoano, groupStatus, left O-Town before the group’s official debut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groupStatus Context triple: [Ikaika Kahoano, groupStatus, left O-Town before the group’s official debut]
-
A.
hasGroupStatus
chosen
Indicates that an entity possesses a particular status, role, or condition within a group or collective context.
-
B.
collectiveStatus
Indicates the overall state or condition shared by a group of entities considered together as a collective.
-
C.
collectivityStatus
Indicates the state or condition of being part of a collective group versus being individual or separate.
-
D.
classStatus
Indicates the current academic or enrollment standing of an entity within a class or course context.
-
E.
clubStatus
Indicates the current standing or role an entity holds within a club, such as membership level, activity state, or official position.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be35a70081909d24d36506d18131 |
completed | April 19, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.