Triple
T18335275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Weider |
E439255
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Weider
Weider is a surname most prominently associated with Joe Weider, a pioneering figure in bodybuilding and fitness publishing.
|
E1319022
|
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: Weider | Statement: [Joe Weider, familyName, Weider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weider Context triple: [Joe Weider, familyName, Weider]
-
A.
Hauerland
Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
-
B.
Demaris
Demaris is a character in Stephen Adly Guirgis's gritty stage play "In Arabia We'd All Be Kings," which portrays the lives of struggling New Yorkers in a rapidly gentrifying Hell's Kitchen.
-
C.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
D.
Brandt
Brandt is the obsequious personal assistant to the wealthy Jeffrey Lebowski in the cult film "The Big Lebowski," often serving as a nervous intermediary between him and the Dude.
-
E.
Brandt
Brandt is a German surname borne by numerous notable individuals across fields such as politics, science, and the arts.
- 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: Weider Triple: [Joe Weider, familyName, Weider]
Generated description
Weider is a surname most prominently associated with Joe Weider, a pioneering figure in bodybuilding and fitness publishing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weider Target entity description: Weider is a surname most prominently associated with Joe Weider, a pioneering figure in bodybuilding and fitness publishing.
-
A.
Hauerland
Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
-
B.
Demaris
Demaris is a character in Stephen Adly Guirgis's gritty stage play "In Arabia We'd All Be Kings," which portrays the lives of struggling New Yorkers in a rapidly gentrifying Hell's Kitchen.
-
C.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
D.
Brandt
Brandt is a German surname borne by numerous notable individuals across fields such as politics, science, and the arts.
-
E.
Brandt
Brandt is the obsequious personal assistant to the wealthy Jeffrey Lebowski in the cult film "The Big Lebowski," often serving as a nervous intermediary between him and the Dude.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecc91148190aa820fcd466009ce |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4d2db288190b5832978f53265ca |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c8b9d06c8190af9e9121246b7e6f |
completed | May 13, 2026, 12:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c989741c81908f2a50b571a8c475 |
completed | May 13, 2026, 12:44 a.m. |
Created at: April 10, 2026, 10:36 a.m.