Triple
T3128896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gayngs |
E65361
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
David Jensen
David Jensen is a musician known for his work with the soft rock/R&B-influenced indie supergroup Gayngs.
|
E372853
|
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: David Jensen | Statement: [Gayngs, hasMember, David Jensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Jensen Context triple: [Gayngs, hasMember, David Jensen]
-
A.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
B.
Jon Jensen
Jon Jensen is the central protagonist of the film "The Salvation," around whom the story’s dramatic events and conflicts revolve.
-
C.
Christopher Lennertz
Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
-
D.
Ryan Hansen
Ryan Hansen is an American actor best known for his role as Dick Casablancas on the television series "Veronica Mars."
-
E.
Joss Christensen
Joss Christensen is an American freestyle skier best known for winning the inaugural Olympic gold medal in men's slopestyle skiing at the 2014 Winter Olympics in Sochi.
- 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: David Jensen Triple: [Gayngs, hasMember, David Jensen]
Generated description
David Jensen is a musician known for his work with the soft rock/R&B-influenced indie supergroup Gayngs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Jensen Target entity description: David Jensen is a musician known for his work with the soft rock/R&B-influenced indie supergroup Gayngs.
-
A.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
B.
Jon Jensen
Jon Jensen is the central protagonist of the film "The Salvation," around whom the story’s dramatic events and conflicts revolve.
-
C.
Christopher Lennertz
Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
-
D.
Ryan Hansen
Ryan Hansen is an American actor best known for his role as Dick Casablancas on the television series "Veronica Mars."
-
E.
Joss Christensen
Joss Christensen is an American freestyle skier best known for winning the inaugural Olympic gold medal in men's slopestyle skiing at the 2014 Winter Olympics in Sochi.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada548123c8190bcfe780c65941585 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432ebe354819097a4ddce7355b8db |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b438eeedc48190a7db2459b5ddd564 |
completed | March 13, 2026, 4:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4394014648190bc03d643a771395c |
completed | March 13, 2026, 4:20 p.m. |
Created at: March 8, 2026, 3:04 p.m.