Triple
T1094882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reebok |
E24249
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Jeff Foster
Jeff Foster is an entrepreneur best known for founding the global athletic footwear and apparel brand Reebok.
|
E156023
|
NE FINISHED |
How this triple was built (4 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: Jeff Foster | Statement: [Reebok, foundedBy, Jeff Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Foster Context triple: [Reebok, foundedBy, Jeff Foster]
-
A.
John Ferrell
John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
-
B.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
C.
Michael Rogers
Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
-
D.
John Dawson
John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
-
E.
Eric Fellner
Eric Fellner is a British film producer and co-chairman of Working Title Films, known for overseeing numerous successful UK and international movies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jeff Foster Triple: [Reebok, foundedBy, Jeff Foster]
Generated description
Jeff Foster is an entrepreneur best known for founding the global athletic footwear and apparel brand Reebok.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Foster Target entity description: Jeff Foster is an entrepreneur best known for founding the global athletic footwear and apparel brand Reebok.
-
A.
John Ferrell
John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
-
B.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
C.
Michael Rogers
Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
-
D.
John Dawson
John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
-
E.
Eric Fellner
Eric Fellner is a British film producer and co-chairman of Working Title Films, known for overseeing numerous successful UK and international movies.
- F. None of above. chosen
Provenance (5 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99e92308190b8a8c499e1630672 |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce55b5748190b54b8205a735ae89 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf47541481909f2032cdf8e4272b |
completed | March 8, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accff8af488190a7580cf7c02ceed9 |
completed | March 8, 2026, 1:25 a.m. |
Created at: March 1, 2026, 7:42 p.m.