Triple
T11570853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin (Minion) |
E274381
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Pierre Coffin |
E268572
|
NE 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: Pierre Coffin | Statement: [Kevin (Minion), createdBy, Pierre Coffin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Coffin Context triple: [Kevin (Minion), createdBy, Pierre Coffin]
-
A.
Pierre Coffin
chosen
Pierre Coffin is a French animator and film director best known as the co-creator of the Minions and the voice behind their characters in the Despicable Me franchise.
-
B.
Mike Jost
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
-
C.
Gary Dourdan
Gary Dourdan is an American actor best known for playing Warrick Brown on the television series CSI: Crime Scene Investigation.
-
D.
Don Mullaly
Don Mullaly was an American screenwriter active during Hollywood’s early sound era, known for contributing to genre films including the 1933 horror-mystery classic "Mystery of the Wax Museum."
-
E.
Luc Jobin
Luc Jobin is a Canadian business executive best known for serving as president and CEO of Canadian National Railway and holding senior leadership roles in major international corporations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd6913881908becf188c0a7a275 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8dec908819080d97cd33be55b3f |
completed | April 21, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:37 p.m.