Triple
T11899287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earfquake |
E283108
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Jessy Wilson
Jessy Wilson is an American singer-songwriter known for her soulful vocals and collaborations across R&B, rock, and alternative music.
|
E952595
|
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: Jessy Wilson | Statement: [Earfquake, featuresArtist, Jessy Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessy Wilson Context triple: [Earfquake, featuresArtist, Jessy Wilson]
-
A.
Jessyca Wilson
Jessyca Wilson is a songwriter best known for her work on the track "Save Room."
-
B.
Kristen Wilson
Kristen Wilson is an American actress best known for her role as Lisa Dolittle in the "Dr. Dolittle" film series starring Eddie Murphy.
-
C.
Jessie Lloyd
Jessie Lloyd is known primarily as the spouse of former child actor Danny Lloyd, who played Danny Torrance in Stanley Kubrick’s film "The Shining."
-
D.
Jessie Gallup
Jessie Gallup was a collaborator and co-author who worked alongside pioneering pollster George Gallup, contributing to early public opinion research.
-
E.
Jessie Stevens
Jessie Stevens is a character in Alfred Hitchcock’s film "To Catch a Thief," known as the wealthy and sharp-tongued mother of Frances Stevens.
- 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: Jessy Wilson Triple: [Earfquake, featuresArtist, Jessy Wilson]
Generated description
Jessy Wilson is an American singer-songwriter known for her soulful vocals and collaborations across R&B, rock, and alternative music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jessy Wilson Target entity description: Jessy Wilson is an American singer-songwriter known for her soulful vocals and collaborations across R&B, rock, and alternative music.
-
A.
Jessyca Wilson
Jessyca Wilson is a songwriter best known for her work on the track "Save Room."
-
B.
Kristen Wilson
Kristen Wilson is an American actress best known for her role as Lisa Dolittle in the "Dr. Dolittle" film series starring Eddie Murphy.
-
C.
Jessie Lloyd
Jessie Lloyd is known primarily as the spouse of former child actor Danny Lloyd, who played Danny Torrance in Stanley Kubrick’s film "The Shining."
-
D.
Jessie Gallup
Jessie Gallup was a collaborator and co-author who worked alongside pioneering pollster George Gallup, contributing to early public opinion research.
-
E.
Jessie Stevens
Jessie Stevens is a character in Alfred Hitchcock’s film "To Catch a Thief," known as the wealthy and sharp-tongued mother of Frances Stevens.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd13cc10819089d8d5103e562924 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4182f18c08190b22706b024d60dd7 |
completed | May 1, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_69f41f1c21388190b6ecb0fd602abb7d |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f42283c4cc81909793834ef65d2514 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.