Triple
T14553590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acceptance |
E341480
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Ryan Zwiefelhofer
Ryan Zwiefelhofer is an individual associated with the group or organization known as Acceptance.
|
E1108492
|
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: Ryan Zwiefelhofer | Statement: [Acceptance, hasMember, Ryan Zwiefelhofer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Zwiefelhofer Context triple: [Acceptance, hasMember, Ryan Zwiefelhofer]
-
A.
Matthias Zell
Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
-
B.
Jason Fuchs
Jason Fuchs is an American screenwriter and actor best known for writing major studio films such as Wonder Woman (2017) and Pan (2015).
-
C.
Kyle Breitkopf
Kyle Breitkopf is a Canadian child actor known for his roles in film and television, including the horror film "The Silence."
-
D.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
-
E.
Joseph Zumstein
Joseph Zumstein was a 19th-century Swiss mountaineer and surveyor known for his pioneering ascents and contributions to Alpine exploration.
- 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: Ryan Zwiefelhofer Triple: [Acceptance, hasMember, Ryan Zwiefelhofer]
Generated description
Ryan Zwiefelhofer is an individual associated with the group or organization known as Acceptance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Zwiefelhofer Target entity description: Ryan Zwiefelhofer is an individual associated with the group or organization known as Acceptance.
-
A.
Matthias Zell
Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
-
B.
Jason Fuchs
Jason Fuchs is an American screenwriter and actor best known for writing major studio films such as Wonder Woman (2017) and Pan (2015).
-
C.
Kyle Breitkopf
Kyle Breitkopf is a Canadian child actor known for his roles in film and television, including the horror film "The Silence."
-
D.
Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
-
E.
Joseph Zumstein
Joseph Zumstein was a 19th-century Swiss mountaineer and surveyor known for his pioneering ascents and contributions to Alpine exploration.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94afc95c8190ae4aff12c9d69c88 |
completed | May 8, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fd96756a7c81909b9f640b9208c8b2 |
completed | May 8, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd972c0a488190bf2843a1f4b29d3a |
completed | May 8, 2026, 7:56 a.m. |
Created at: April 10, 2026, 1:23 a.m.