Triple
T25752984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GoGo Penguin |
E648513
|
entity |
| Predicate | associatedWithLabelFounder |
P151885
|
FINISHED |
| Object | Matthew Halsall |
—
|
NE NERFINISHED |
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: Matthew Halsall | Statement: [GoGo Penguin, associatedWithLabelFounder, Matthew Halsall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLabelFounder Context triple: [GoGo Penguin, associatedWithLabelFounder, Matthew Halsall]
-
A.
hasFounderRelationship
Indicates a relationship where one entity serves as the founder or co-founder of another entity.
-
B.
associatedInstitutionFounder
Indicates that an entity is the founder or co-founder of a particular institution with which they are associated.
-
C.
associatedWithLabel
Indicates that an entity is connected or related to a particular label or tag used to categorize or identify it.
-
D.
founderAssociatedAct
chosen
Indicates that an act, organization, or initiative is associated with the founder of the referenced entity, typically through creation, sponsorship, or significant involvement.
-
E.
labelFounderCollaborator
Indicates that an entity is recognized as a collaborator who worked together with the founder in establishing or developing 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: April 22, 2026, 4:37 a.m.