Triple
T8545239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolly Talbo |
E202303
|
entity |
| Predicate | hasConflictWith |
P4897
|
FINISHED |
| Object |
Verena Talbo
Verena Talbo is a character in the novel "The Grass Dancer" by Susan Power, known primarily through her fraught and antagonistic relationship with Dolly Talbo.
|
E741279
|
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: Verena Talbo | Statement: [Dolly Talbo, hasConflictWith, Verena Talbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verena Talbo Context triple: [Dolly Talbo, hasConflictWith, Verena Talbo]
-
A.
Verena
Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
-
B.
Verena Arnold
Verena Arnold is known as the wife of Christian writer and pastor Johann Christoph Arnold, associated with the Bruderhof community.
-
C.
Verena Bentele
Verena Bentele is a German former Paralympic biathlete and cross-country skier who became a prominent politician and disability rights advocate.
-
D.
Verena Wagner Lafferentz
Verena Wagner Lafferentz was a German granddaughter of composer Richard Wagner and a member of the Wagner family closely associated with the Bayreuth Festival.
-
E.
Verena Wengler
Verena Wengler is known as the spouse of German actor Jürgen Prochnow.
- 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: Verena Talbo Triple: [Dolly Talbo, hasConflictWith, Verena Talbo]
Generated description
Verena Talbo is a character in the novel "The Grass Dancer" by Susan Power, known primarily through her fraught and antagonistic relationship with Dolly Talbo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verena Talbo Target entity description: Verena Talbo is a character in the novel "The Grass Dancer" by Susan Power, known primarily through her fraught and antagonistic relationship with Dolly Talbo.
-
A.
Verena
Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
-
B.
Verena Arnold
Verena Arnold is known as the wife of Christian writer and pastor Johann Christoph Arnold, associated with the Bruderhof community.
-
C.
Verena Bentele
Verena Bentele is a German former Paralympic biathlete and cross-country skier who became a prominent politician and disability rights advocate.
-
D.
Verena Wagner Lafferentz
Verena Wagner Lafferentz was a German granddaughter of composer Richard Wagner and a member of the Wagner family closely associated with the Bayreuth Festival.
-
E.
Verena Wengler
Verena Wengler is known as the spouse of German actor Jürgen Prochnow.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e4e21c8190afcbca73713a5fa8 |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6db3eef08190934f5b42807ad769 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.