Triple
T20409546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boys and Girls |
E500552
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object |
Bête Noire
Bête Noire is a French term meaning “black beast,” commonly used to describe a person or thing that is particularly disliked or dreaded.
|
E1429498
|
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: Bête Noire | Statement: [Boys and Girls, followedBy, Bête Noire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bête Noire Context triple: [Boys and Girls, followedBy, Bête Noire]
-
A.
La Braconne
La Braconne is a French film featuring actress Rachida Brakni in a prominent role.
-
B.
Râches
Râches is a small commune in northern France’s Nord department, situated within the industrial and historical region around Douai.
-
C.
Bâtard
Bâtard is a prestigious Grand Cru vineyard in Burgundy’s Côte de Beaune, renowned for producing some of the world’s finest Chardonnay wines.
-
D.
Le Blaireau
Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
-
E.
La Lézarde
La Lézarde is a novel by Édouard Glissant that explores anti-colonial struggle and Caribbean identity through the intertwined lives of villagers in Martinique.
- 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: Bête Noire Triple: [Boys and Girls, followedBy, Bête Noire]
Generated description
Bête Noire is a French term meaning “black beast,” commonly used to describe a person or thing that is particularly disliked or dreaded.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bête Noire Target entity description: Bête Noire is a French term meaning “black beast,” commonly used to describe a person or thing that is particularly disliked or dreaded.
-
A.
La Braconne
La Braconne is a French film featuring actress Rachida Brakni in a prominent role.
-
B.
Râches
Râches is a small commune in northern France’s Nord department, situated within the industrial and historical region around Douai.
-
C.
Bâtard
Bâtard is a prestigious Grand Cru vineyard in Burgundy’s Côte de Beaune, renowned for producing some of the world’s finest Chardonnay wines.
-
D.
Le Blaireau
Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
-
E.
La Lézarde
La Lézarde is a novel by Édouard Glissant that explores anti-colonial struggle and Caribbean identity through the intertwined lives of villagers in Martinique.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b1ff45881909ac8dbea28422624 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088015c514819087967845614dd25d |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0880b79edc81908b180db5338f57db |
completed | May 16, 2026, 2:35 p.m. |
Created at: April 16, 2026, 11:29 a.m.