Triple
T17331923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbarella |
E420836
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object |
Jean-Claude Forest
Jean-Claude Forest was a French comic book artist and writer best known as the creator of the science-fiction heroine Barbarella.
|
E1338171
|
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: Jean-Claude Forest | Statement: [Barbarella, basedOnWorkBy, Jean-Claude Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Claude Forest Context triple: [Barbarella, basedOnWorkBy, Jean-Claude Forest]
-
A.
Olivier Dupont
Olivier Dupont is a French local politician who serves as the mayor of the commune of Viarmes in northern France.
-
B.
Pierre Levent
Pierre Levent is a cinematographer known for his work on the film "Le Soupirant."
-
C.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
D.
Jean-Claude Olivier
Jean-Claude Olivier is a music producer best known for his work on George Michael’s landmark album "Faith."
-
E.
Jean-Claude Olivier
Jean-Claude Olivier is a music producer and songwriter best known as one half of the production duo Trackmasters, who crafted numerous hip hop and R&B hits in the 1990s and 2000s.
- 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: Jean-Claude Forest Triple: [Barbarella, basedOnWorkBy, Jean-Claude Forest]
Generated description
Jean-Claude Forest was a French comic book artist and writer best known as the creator of the science-fiction heroine Barbarella.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean-Claude Forest Target entity description: Jean-Claude Forest was a French comic book artist and writer best known as the creator of the science-fiction heroine Barbarella.
-
A.
Olivier Dupont
Olivier Dupont is a French local politician who serves as the mayor of the commune of Viarmes in northern France.
-
B.
Pierre Levent
Pierre Levent is a cinematographer known for his work on the film "Le Soupirant."
-
C.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
-
D.
Jean-Claude Olivier
Jean-Claude Olivier is a music producer best known for his work on George Michael’s landmark album "Faith."
-
E.
Jean-Claude Olivier
Jean-Claude Olivier is a music producer and songwriter best known as one half of the production duo Trackmasters, who crafted numerous hip hop and R&B hits in the 1990s and 2000s.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d6870c8190989897aa6beba8ff |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b19cde0819088bb66e41796b3dc |
completed | May 14, 2026, 1:53 a.m. |
| NEDg | Description generation | batch_6a052c02a8cc8190bba9db8bd0d3b7b5 |
completed | May 14, 2026, 1:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052ca7b87c8190808537110bf69fb6 |
completed | May 14, 2026, 2 a.m. |
Created at: April 10, 2026, 5:43 a.m.