Triple
T4441245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Olympia |
E95774
|
entity |
| Predicate | notableChampion |
P2682
|
FINISHED |
| Object |
Larry Scott
Larry Scott was an American professional bodybuilder best known as the first-ever Mr. Olympia champion and a pioneering icon in the sport.
|
E439265
|
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: Larry Scott | Statement: [Mr. Olympia, notableChampion, Larry Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Scott Context triple: [Mr. Olympia, notableChampion, Larry Scott]
-
A.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
B.
Brandon Scott
Brandon Scott is an American politician serving as the mayor of Baltimore, Maryland.
-
C.
Ray Scott
Ray Scott was a renowned American sportscaster best known for his minimalist, understated play-by-play style on NFL broadcasts.
-
D.
Kevin Liles
Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
-
E.
Sean Eldridge
Sean Eldridge is an American political activist, investor, and former congressional candidate known for his work on progressive causes and campaign finance reform.
- 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: Larry Scott Triple: [Mr. Olympia, notableChampion, Larry Scott]
Generated description
Larry Scott was an American professional bodybuilder best known as the first-ever Mr. Olympia champion and a pioneering icon in the sport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larry Scott Target entity description: Larry Scott was an American professional bodybuilder best known as the first-ever Mr. Olympia champion and a pioneering icon in the sport.
-
A.
Ed Scott
Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
-
B.
Brandon Scott
Brandon Scott is an American politician serving as the mayor of Baltimore, Maryland.
-
C.
Ray Scott
Ray Scott was a renowned American sportscaster best known for his minimalist, understated play-by-play style on NFL broadcasts.
-
D.
Kevin Liles
Kevin Liles is an American music executive and entrepreneur best known for his leadership roles at Def Jam Recordings and later at Warner Music Group.
-
E.
Sean Eldridge
Sean Eldridge is an American political activist, investor, and former congressional candidate known for his work on progressive causes and campaign finance reform.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ad71588190b1dcad4250472c29 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61380fca08190bf036a7d82cee0e7 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b6143adefc81908f6c639906e0fd1a |
completed | March 15, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b614b00dbc8190a7ea0477bedbc96a |
completed | March 15, 2026, 2:08 a.m. |
Created at: March 12, 2026, 11:32 p.m.