Triple
T13812263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligne 2 |
E331921
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Blanche
Blanche is a Paris Métro station located in the Montmartre area, serving Line 2 near the Moulin Rouge.
|
E1063105
|
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: Blanche | Statement: [Ligne 2, hasStation, Blanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanche Context triple: [Ligne 2, hasStation, Blanche]
-
A.
Blanche
Blanche is a feminine given name of French origin historically associated with nobility and literary figures.
-
B.
Blanche Hanalis
Blanche Hanalis was an American television writer and producer best known for adapting and developing popular family-oriented series and literary works for TV.
-
C.
Blanche DuBois
Blanche DuBois is the fragile, delusional Southern belle at the center of Tennessee Williams' play "A Streetcar Named Desire," whose psychological unraveling drives the story's tragic arc.
-
D.
Blanche Devereaux
Blanche Devereaux is a flirtatious, glamorous Southern belle and one of the four central housemates in the classic sitcom "The Golden Girls."
-
E.
Blanche Baker
Blanche Baker is an American actress known for her roles in film, television, and theater, including a supporting part in the 1990 adaptation of The Handmaid's Tale.
- 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: Blanche Triple: [Ligne 2, hasStation, Blanche]
Generated description
Blanche is a Paris Métro station located in the Montmartre area, serving Line 2 near the Moulin Rouge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blanche Target entity description: Blanche is a Paris Métro station located in the Montmartre area, serving Line 2 near the Moulin Rouge.
-
A.
Blanche
Blanche is a feminine given name of French origin historically associated with nobility and literary figures.
-
B.
Blanche Hanalis
Blanche Hanalis was an American television writer and producer best known for adapting and developing popular family-oriented series and literary works for TV.
-
C.
Blanche DuBois
Blanche DuBois is the fragile, delusional Southern belle at the center of Tennessee Williams' play "A Streetcar Named Desire," whose psychological unraveling drives the story's tragic arc.
-
D.
Blanche Devereaux
Blanche Devereaux is a flirtatious, glamorous Southern belle and one of the four central housemates in the classic sitcom "The Golden Girls."
-
E.
Blanche Baker
Blanche Baker is an American actress known for her roles in film, television, and theater, including a supporting part in the 1990 adaptation of The Handmaid's Tale.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de027198f8819095da3e714ac241f5 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8de34a4819090c99cb78b941003 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b974fce88190ace5030555b7b5f1 |
completed | May 3, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba936c4481908757699ff22d3904 |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:12 p.m.