Triple
T7218376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fabulous Thunderbirds |
E150192
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Fran Christina
Fran Christina is an American drummer best known for his work with the blues-rock band The Fabulous Thunderbirds.
|
E649627
|
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: Fran Christina | Statement: [The Fabulous Thunderbirds, memberOf, Fran Christina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fran Christina Context triple: [The Fabulous Thunderbirds, memberOf, Fran Christina]
-
A.
Ricarda
Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
-
B.
Gisela
Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
-
C.
Amalie
Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
-
D.
Amalie
Amalie is a motor oil and lubricants brand known for producing automotive and industrial oils.
-
E.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
- 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: Fran Christina Triple: [The Fabulous Thunderbirds, memberOf, Fran Christina]
Generated description
Fran Christina is an American drummer best known for his work with the blues-rock band The Fabulous Thunderbirds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fran Christina Target entity description: Fran Christina is an American drummer best known for his work with the blues-rock band The Fabulous Thunderbirds.
-
A.
Ricarda
Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
-
B.
Gisela
Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
-
C.
Amalie
Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
-
D.
Amalie
Amalie is a motor oil and lubricants brand known for producing automotive and industrial oils.
-
E.
Franziska
Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc014fb88190818e12b7abe90c0a |
completed | March 28, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69c7ccf3cd4c8190babc9e0e6b9f4371 |
completed | March 28, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cd5cedd88190b72df89b068c4483 |
completed | March 28, 2026, 12:45 p.m. |
Created at: March 27, 2026, 2:53 p.m.