Triple
T2517076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minions (fictional species) |
E55435
|
entity |
| Predicate | roleInFranchise |
P16873
|
FINISHED |
| Object | comic relief |
—
|
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: comic relief | Statement: [Minions (fictional species), roleInFranchise, comic relief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFranchise Context triple: [Minions (fictional species), roleInFranchise, comic relief]
-
A.
roleInFranchiseHistory
Indicates the specific function, position, or contribution an entity has within the historical development or timeline of a franchise.
-
B.
roleAtSportsTeam
Indicates the specific position or function an individual holds within a sports team.
-
C.
positionOnFranchise
chosen
Indicates the specific role, rank, or status an entity holds within a particular franchise or franchise-based organization.
-
D.
playsForFranchise
Indicates that one entity is an athlete or performer who is a member of, or competes on behalf of, a particular sports franchise or team.
-
E.
franchiseOwner
Indicates that one entity holds the ownership and operating rights of a franchise granted by another entity.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0bf37c0819088d28b5081ba7556 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.