Triple
T1149795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under Armour |
E23649
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Kevin Plank
Kevin Plank is an American entrepreneur best known as the founder and longtime CEO of the sportswear company Under Armour.
|
E131884
|
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: Kevin Plank | Statement: [Under Armour, foundedBy, Kevin Plank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Plank Context triple: [Under Armour, foundedBy, Kevin Plank]
-
A.
Andrew Marcus
Andrew Marcus is a literary editor known for preparing an edition of E. M. Forster’s novel "Howards End."
-
B.
Mark Parker
Mark Parker is an American businessman best known for serving as the longtime CEO and later executive chairman of Nike, Inc.
-
C.
Michael Kay
Michael Kay is a New York sports broadcaster best known as the television play-by-play announcer for the New York Yankees and host of "The Michael Kay Show."
-
D.
James Robinson
James Robinson was a civil rights activist best known as one of the founders of the Congress of Racial Equality (CORE), a key organization in the U.S. civil rights movement.
-
E.
Jeff Beal
Jeff Beal is an American composer best known for his atmospheric, minimalist scores for film and television, particularly the acclaimed political drama "House of Cards."
- 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: Kevin Plank Triple: [Under Armour, foundedBy, Kevin Plank]
Generated description
Kevin Plank is an American entrepreneur best known as the founder and longtime CEO of the sportswear company Under Armour.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Plank Target entity description: Kevin Plank is an American entrepreneur best known as the founder and longtime CEO of the sportswear company Under Armour.
-
A.
Andrew Marcus
Andrew Marcus is a literary editor known for preparing an edition of E. M. Forster’s novel "Howards End."
-
B.
Mark Parker
Mark Parker is an American businessman best known for serving as the longtime CEO and later executive chairman of Nike, Inc.
-
C.
Michael Kay
Michael Kay is a New York sports broadcaster best known as the television play-by-play announcer for the New York Yankees and host of "The Michael Kay Show."
-
D.
James Robinson
James Robinson was a civil rights activist best known as one of the founders of the Congress of Racial Equality (CORE), a key organization in the U.S. civil rights movement.
-
E.
Jeff Beal
Jeff Beal is an American composer best known for his atmospheric, minimalist scores for film and television, particularly the acclaimed political drama "House of Cards."
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc730b008190bd0901e0a47a4b7a |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eb5d36c8190916a43a5f41df144 |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f4756b08190b3dbaf64a9351836 |
completed | March 7, 2026, 5:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac600f78148190bd3109276f7b9e3a |
completed | March 7, 2026, 5:27 p.m. |
Created at: March 1, 2026, 7:44 p.m.