Triple
T14106570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Faute de l’Abbé Mouret |
E339521
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
La Teuse
La Teuse is a devout, sharp-tongued housekeeper and maternal figure who plays a key supporting role in Émile Zola’s novel "La Faute de l’Abbé Mouret."
|
E1082169
|
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: La Teuse | Statement: [La Faute de l’Abbé Mouret, mainCharacter, La Teuse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Teuse Context triple: [La Faute de l’Abbé Mouret, mainCharacter, La Teuse]
-
A.
Drouet
Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
-
B.
Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
-
C.
Beaujeu
Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
-
D.
Gochenée
Gochenée is a small village in Wallonia, Belgium, known primarily as the birthplace of the 19th-century architect Alphonse Balat.
-
E.
Cherain
Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
- 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: La Teuse Triple: [La Faute de l’Abbé Mouret, mainCharacter, La Teuse]
Generated description
La Teuse is a devout, sharp-tongued housekeeper and maternal figure who plays a key supporting role in Émile Zola’s novel "La Faute de l’Abbé Mouret."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Teuse Target entity description: La Teuse is a devout, sharp-tongued housekeeper and maternal figure who plays a key supporting role in Émile Zola’s novel "La Faute de l’Abbé Mouret."
-
A.
Drouet
Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
-
B.
Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
-
C.
Beaujeu
Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
-
D.
Gochenée
Gochenée is a small village in Wallonia, Belgium, known primarily as the birthplace of the 19th-century architect Alphonse Balat.
-
E.
Cherain
Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600ada808190b92d67dc30f13d15 |
completed | April 14, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf04871c8190891605415f1abf7f |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0cc78e881909090ac42a97ebb12 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1f53a8881909fd1258729a9879d |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 10:22 p.m.