Triple
T37715011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skids |
E939433
|
entity |
| Predicate | notableGroupRole |
P27764
|
FINISHED |
| Object | member of young mutant trainees under X-Factor |
—
|
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: member of young mutant trainees under X-Factor | Statement: [Skids, notableGroupRole, member of young mutant trainees under X-Factor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGroupRole Context triple: [Skids, notableGroupRole, member of young mutant trainees under X-Factor]
-
A.
notableHolderRole
Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
-
B.
notableUserGroup
Indicates that the subject is associated with a user group that is distinguished or recognized as notable in some specific context.
-
C.
hasNotableRoleIn
chosen
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
D.
roleOfGroup
Indicates the function, responsibility, or position that a group holds within a broader context or structure.
-
E.
notableOfficerRole
Indicates that an entity holds or has held a particularly significant or distinguished officer position within an organization or institution.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.