Triple
T13202603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Brossolette |
E314277
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Brossolette
Brossolette is a French surname most notably associated with Pierre Brossolette, a prominent figure in the French Resistance during World War II.
|
E1027026
|
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: Brossolette | Statement: [Pierre Brossolette, familyName, Brossolette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brossolette Context triple: [Pierre Brossolette, familyName, Brossolette]
-
A.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
B.
Labouret
Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
-
C.
Môtier
Môtier is a small Swiss village in the canton of Fribourg, known for its vineyards and scenic location in the Vully region.
-
D.
Fliquet
Fliquet is a small coastal locality in the Parish of St. Martin on the island of Jersey, known for its shoreline and rural surroundings.
-
E.
Roublot
Roublot is a rare French white wine grape variety, historically cultivated in limited regions and valued mainly for blending.
- 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: Brossolette Triple: [Pierre Brossolette, familyName, Brossolette]
Generated description
Brossolette is a French surname most notably associated with Pierre Brossolette, a prominent figure in the French Resistance during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brossolette Target entity description: Brossolette is a French surname most notably associated with Pierre Brossolette, a prominent figure in the French Resistance during World War II.
-
A.
Barbaroux
Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
-
B.
Labouret
Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
-
C.
Môtier
Môtier is a small Swiss village in the canton of Fribourg, known for its vineyards and scenic location in the Vully region.
-
D.
Fliquet
Fliquet is a small coastal locality in the Parish of St. Martin on the island of Jersey, known for its shoreline and rural surroundings.
-
E.
Roublot
Roublot is a rare French white wine grape variety, historically cultivated in limited regions and valued mainly for blending.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9961a48190a1157df47f59b7af |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f60cf610819098d0c45989e3f9cf |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f76ade3c8190b46655f104a1ceaa |
completed | May 3, 2026, 7:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f85149cc8190adf68387475d3286 |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 9, 2026, 9:16 p.m.