Triple
T14044260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cinematic Orchestra |
E337916
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Heidi Vogel
Heidi Vogel is a British jazz and soul singer best known as a longtime vocalist for the electronic jazz group The Cinematic Orchestra.
|
E1086685
|
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: Heidi Vogel | Statement: [The Cinematic Orchestra, hasMember, Heidi Vogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heidi Vogel Context triple: [The Cinematic Orchestra, hasMember, Heidi Vogel]
-
A.
Melanie Vogel
Melanie Vogel is a German politician and member of the Alliance 90/The Greens party who has served in the Bundesrat and is known for her work on education and social policy.
-
B.
Heidi Rodewald
Heidi Rodewald is an American composer, bassist, and songwriter best known for her collaborative work in theater and music, including co-creating the rock musical "Passing Strange."
-
C.
Heidi Mohr
Heidi Mohr was a prolific German footballer renowned as one of Europe’s leading women’s forwards in the late 1980s and early 1990s.
-
D.
Heather Wielandt
Heather Wielandt is known as the former spouse of American actor Titus Welliver.
-
E.
Tanya Vogel
Tanya Vogel is a collegiate sports administrator best known for serving as the athletic director at George Washington University.
- 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: Heidi Vogel Triple: [The Cinematic Orchestra, hasMember, Heidi Vogel]
Generated description
Heidi Vogel is a British jazz and soul singer best known as a longtime vocalist for the electronic jazz group The Cinematic Orchestra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heidi Vogel Target entity description: Heidi Vogel is a British jazz and soul singer best known as a longtime vocalist for the electronic jazz group The Cinematic Orchestra.
-
A.
Melanie Vogel
Melanie Vogel is a German politician and member of the Alliance 90/The Greens party who has served in the Bundesrat and is known for her work on education and social policy.
-
B.
Heidi Rodewald
Heidi Rodewald is an American composer, bassist, and songwriter best known for her collaborative work in theater and music, including co-creating the rock musical "Passing Strange."
-
C.
Heidi Mohr
Heidi Mohr was a prolific German footballer renowned as one of Europe’s leading women’s forwards in the late 1980s and early 1990s.
-
D.
Heather Wielandt
Heather Wielandt is known as the former spouse of American actor Titus Welliver.
-
E.
Tanya Vogel
Tanya Vogel is a collegiate sports administrator best known for serving as the athletic director at George Washington University.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192ee1ac81908663ebd2e06784f1 |
completed | May 7, 2026, 10:58 p.m. |
| NEDg | Description generation | batch_69fd2315cf6881908fc83b273c966cae |
completed | May 7, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd238d6a7c8190980388e9027e3a72 |
completed | May 7, 2026, 11:43 p.m. |
Created at: April 9, 2026, 10:20 p.m.