Triple
T17876595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Read |
E446968
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Cousin Marie-Hélène
Cousin Marie-Hélène is a family member of Kate Read, known within their family circle as one of her close relatives.
|
E1293396
|
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: Cousin Marie-Hélène | Statement: [Kate Read, relative, Cousin Marie-Hélène]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cousin Marie-Hélène Context triple: [Kate Read, relative, Cousin Marie-Hélène]
-
A.
Hélène Daville
Hélène Daville is a central fictional character in Claude Chabrol’s psychological thriller film "Le Boucher," around whom much of the story’s tension and mystery revolves.
-
B.
Hélène de Beaumont
Hélène de Beaumont is a French noblewoman known primarily as a historical bearer of the aristocratic surname de Beaumont.
-
C.
Louisette Hautecoeur
Louisette Hautecoeur was a French film editor known for her work on classic European cinema, including Luis Buñuel’s "Belle de Jour."
-
D.
Mlle Deloche
Mlle Deloche was the wife of French classical liberal economist and political theorist Jean-Baptiste Say.
-
E.
Marie Dubois
Marie Dubois was a French actress best known for her roles in New Wave cinema, particularly in films directed by François Truffaut.
- 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: Cousin Marie-Hélène Triple: [Kate Read, relative, Cousin Marie-Hélène]
Generated description
Cousin Marie-Hélène is a family member of Kate Read, known within their family circle as one of her close relatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cousin Marie-Hélène Target entity description: Cousin Marie-Hélène is a family member of Kate Read, known within their family circle as one of her close relatives.
-
A.
Hélène Daville
Hélène Daville is a central fictional character in Claude Chabrol’s psychological thriller film "Le Boucher," around whom much of the story’s tension and mystery revolves.
-
B.
Hélène de Beaumont
Hélène de Beaumont is a French noblewoman known primarily as a historical bearer of the aristocratic surname de Beaumont.
-
C.
Louisette Hautecoeur
Louisette Hautecoeur was a French film editor known for her work on classic European cinema, including Luis Buñuel’s "Belle de Jour."
-
D.
Mlle Deloche
Mlle Deloche was the wife of French classical liberal economist and political theorist Jean-Baptiste Say.
-
E.
Marie Dubois
Marie Dubois was a French actress best known for her roles in New Wave cinema, particularly in films directed by François Truffaut.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa614b48190bdc9e905e9e6d5e0 |
completed | April 19, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313d1c1e48190a17e3b81c4ee22f3 |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a031485c3908190a8fe49068d45e910 |
completed | May 12, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03151de8408190a4c8bc30f5606951 |
completed | May 12, 2026, 11:55 a.m. |
Created at: April 10, 2026, 10:18 a.m.