Triple
T11218305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Tina Bordereau |
E265494
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bordereau
Bordereau is a French surname most notably associated with characters in Henry James’s novella "The Aspern Papers."
|
E911325
|
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: Bordereau | Statement: [Miss Tina Bordereau, familyName, Bordereau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bordereau Context triple: [Miss Tina Bordereau, familyName, Bordereau]
-
A.
Boutonnat
Boutonnat is a French surname most notably borne by Laurent Boutonnat, a composer and filmmaker known for his collaborations with singer Mylène Farmer.
-
B.
Richepanse
Richepanse is a French surname most notably borne by Antoine Richepanse, a general of the French Revolutionary and Napoleonic Wars.
-
C.
Bongrand
Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
Bordin
Bordin is the namesake of the French academic distinction known as the Prix Bordin, awarded by the Institut de France for outstanding scholarly work.
- 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: Bordereau Triple: [Miss Tina Bordereau, familyName, Bordereau]
Generated description
Bordereau is a French surname most notably associated with characters in Henry James’s novella "The Aspern Papers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bordereau Target entity description: Bordereau is a French surname most notably associated with characters in Henry James’s novella "The Aspern Papers."
-
A.
Boutonnat
Boutonnat is a French surname most notably borne by Laurent Boutonnat, a composer and filmmaker known for his collaborations with singer Mylène Farmer.
-
B.
Richepanse
Richepanse is a French surname most notably borne by Antoine Richepanse, a general of the French Revolutionary and Napoleonic Wars.
-
C.
Bongrand
Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
Bordin
Bordin is the namesake of the French academic distinction known as the Prix Bordin, awarded by the Institut de France for outstanding scholarly work.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ea19e8819095d5d02c1f145534 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4976f38788190855aed6338d819b7 |
completed | April 19, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e49d37989881909c7e75ddfff06726 |
completed | April 19, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49f41a1f8819087cc15527dc7ff63 |
completed | April 19, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.