Triple
T14553589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acceptance |
E341480
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Kaylan Cloyd
Kaylan Cloyd is an individual associated with the organization or group known as Acceptance.
|
E1109625
|
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: Kaylan Cloyd | Statement: [Acceptance, hasMember, Kaylan Cloyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaylan Cloyd Context triple: [Acceptance, hasMember, Kaylan Cloyd]
-
A.
Kellan Christopher Lutz
Kellan Christopher Lutz is an American actor and model best known for his role as Emmett Cullen in the "Twilight" film series.
-
B.
Sage Kotsenburg
Sage Kotsenburg is an American snowboarder best known for winning the first-ever Olympic gold medal in men's slopestyle at the 2014 Winter Olympics in Sochi.
-
C.
Aidan Keller
Aidan Keller is the young, psychically sensitive boy central to the plot of the horror film "The Ring."
-
D.
Dylan Clark
Dylan Clark is a film producer known for his work on major Hollywood projects including "The Mountain Between Us" and the "Planet of the Apes" reboot series.
-
E.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
- 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: Kaylan Cloyd Triple: [Acceptance, hasMember, Kaylan Cloyd]
Generated description
Kaylan Cloyd is an individual associated with the organization or group known as Acceptance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaylan Cloyd Target entity description: Kaylan Cloyd is an individual associated with the organization or group known as Acceptance.
-
A.
Kellan Christopher Lutz
Kellan Christopher Lutz is an American actor and model best known for his role as Emmett Cullen in the "Twilight" film series.
-
B.
Sage Kotsenburg
Sage Kotsenburg is an American snowboarder best known for winning the first-ever Olympic gold medal in men's slopestyle at the 2014 Winter Olympics in Sochi.
-
C.
Aidan Keller
Aidan Keller is the young, psychically sensitive boy central to the plot of the horror film "The Ring."
-
D.
Dylan Clark
Dylan Clark is a film producer known for his work on major Hollywood projects including "The Mountain Between Us" and the "Planet of the Apes" reboot series.
-
E.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
- 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_69fda9124af481908f43e3b541568e26 |
completed | May 8, 2026, 9:12 a.m. |
| NEDg | Description generation | batch_69fdb3111f488190ba93e52f0e7fdb95 |
completed | May 8, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb37acc548190ac2a9afbe332ba9c |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 10, 2026, 1:23 a.m.