Triple
T24974244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | co-founding Reebok |
E624973
|
entity |
| Predicate | hasKeyRoleOfJoeFoster |
P101358
|
FINISHED |
| Object | product design and innovation |
—
|
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: product design and innovation | Statement: [co-founding Reebok, hasKeyRoleOfJoeFoster, product design and innovation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyRoleOfJoeFoster Context triple: [co-founding Reebok, hasKeyRoleOfJoeFoster, product design and innovation]
-
A.
isKeyRole
chosen
Indicates that an entity holds a primary or critically important role within a given context or structure.
-
B.
hasBossOfElliotAlderson
Indicates that the referenced entity is the boss or direct superior of Elliot Alderson in a hierarchical or workplace relationship.
-
C.
roleOfAlecHardison
Indicates that the specified role or function is performed or held by Alec Hardison.
-
D.
hasCustodyRole
Indicates that one entity holds a specific custodial responsibility or role in relation to another entity.
-
E.
hasCabinetRole
Indicates that an entity holds or is assigned a specific role or position within a cabinet (such as a governmental or executive cabinet).
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:01 a.m.