Triple
T22265108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Vaison-la-Romaine |
E550330
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Suzette
Suzette is a small commune in southeastern France, known for its scenic vineyards and views of Mont Ventoux in the Vaucluse department.
|
E1527786
|
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: Suzette | Statement: [canton of Vaison-la-Romaine, contains, Suzette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzette Context triple: [canton of Vaison-la-Romaine, contains, Suzette]
-
A.
Suzette
Suzette is a fictional character appearing in the story or series "The Firefly."
-
B.
Suzanne
"Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
-
C.
Suzanne
Suzanne is a feminine given name of French origin, derived from the Hebrew name Shoshannah meaning “lily.”
-
D.
Suzanne
Suzanne is a central character in Steve Martin’s play "Picasso at the Lapin Agile," representing a young woman entangled romantically with both Picasso and other men in the bohemian Parisian setting.
-
E.
Suzie
Suzie is a Canadian film written and directed by Micheline Lanctôt, known for its intimate, character-driven storytelling.
- 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: Suzette Triple: [canton of Vaison-la-Romaine, contains, Suzette]
Generated description
Suzette is a small commune in southeastern France, known for its scenic vineyards and views of Mont Ventoux in the Vaucluse department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suzette Target entity description: Suzette is a small commune in southeastern France, known for its scenic vineyards and views of Mont Ventoux in the Vaucluse department.
-
A.
Suzette
Suzette is a fictional character appearing in the story or series "The Firefly."
-
B.
Suzanne
"Suzanne" is a renowned song by Leonard Cohen, celebrated for its poetic lyrics and haunting melody.
-
C.
Suzanne
Suzanne is a central character in Steve Martin’s play "Picasso at the Lapin Agile," representing a young woman entangled romantically with both Picasso and other men in the bohemian Parisian setting.
-
D.
Suzanne
Suzanne is a feminine given name of French origin, derived from the Hebrew name Shoshannah meaning “lily.”
-
E.
Suzie
Suzie is a Canadian film written and directed by Micheline Lanctôt, known for its intimate, character-driven storytelling.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bb850881908f5e9c37afb52ca8 |
completed | April 28, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab66c7f248190be0b13342f843eb8 |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab7b53aa881908227842536d7e8cc |
completed | May 18, 2026, 6:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab82b5a988190a55dd87f10664821 |
completed | May 18, 2026, 6:56 a.m. |
Created at: April 16, 2026, 8:39 p.m.