Triple
T10325760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girlboss |
E242756
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Christian Ditter
Christian Ditter is a German film and television director, producer, and screenwriter known for works such as "How to Be Single," "Love, Rosie," and the Netflix series "Girlboss."
|
E882347
|
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: Christian Ditter | Statement: [Girlboss, executiveProducer, Christian Ditter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Ditter Context triple: [Girlboss, executiveProducer, Christian Ditter]
-
A.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
-
B.
Max Sollmann
Max Sollmann was a Nazi official who served as a defendant in the post-World War II RuSHA Trial for his involvement in racial and resettlement policies of the SS.
-
C.
Michael Stütz
Michael Stütz is a German local politician who serves as the mayor of the municipality of Königsbronn in Baden-Württemberg.
-
D.
Jochen Kuttler
Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
-
E.
Carsten Dominik
Carsten Dominik is a software developer and astronomer best known as the original creator of Org-mode for Emacs.
- 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: Christian Ditter Triple: [Girlboss, executiveProducer, Christian Ditter]
Generated description
Christian Ditter is a German film and television director, producer, and screenwriter known for works such as "How to Be Single," "Love, Rosie," and the Netflix series "Girlboss."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Ditter Target entity description: Christian Ditter is a German film and television director, producer, and screenwriter known for works such as "How to Be Single," "Love, Rosie," and the Netflix series "Girlboss."
-
A.
Christoph Dolle
Christoph Dolle is a German local politician who serves as the mayor of the town of Blomberg.
-
B.
Max Sollmann
Max Sollmann was a Nazi official who served as a defendant in the post-World War II RuSHA Trial for his involvement in racial and resettlement policies of the SS.
-
C.
Michael Stütz
Michael Stütz is a German local politician who serves as the mayor of the municipality of Königsbronn in Baden-Württemberg.
-
D.
Jochen Kuttler
Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
-
E.
Carsten Dominik
Carsten Dominik is a software developer and astronomer best known as the original creator of Org-mode for Emacs.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbd93b506c8190bbff63903770355a |
completed | April 12, 2026, 5:41 p.m. |
| NEDg | Description generation | batch_69dcad07b51081908fd66ee9ff7341f6 |
completed | April 13, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dd4386e3308190bb8503ce75fa628f |
completed | April 13, 2026, 7:27 p.m. |
Created at: April 6, 2026, 11:51 a.m.