Triple
T23024116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les deux journées |
E573251
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Armand
Armand is a character in the French Revolutionary-era play "Les deux journées" by Luigi Cherubini and Jean-Nicolas Bouilly.
|
E1566452
|
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: Armand | Statement: [Les deux journées, character, Armand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armand Context triple: [Les deux journées, character, Armand]
-
A.
Armand
Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
-
B.
Armand
Armand is the given first name of the 19th-century French physicist Hippolyte Fizeau, known for his pioneering measurements of the speed of light.
-
C.
Armand
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
-
D.
Armand
Armand is a masculine given name of French origin, historically associated with nobility and used in various European and English-speaking cultures.
-
E.
Armand
Armand is a central vampire character in the "Lestat" musical, adapted from Anne Rice’s The Vampire Chronicles.
- 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: Armand Triple: [Les deux journées, character, Armand]
Generated description
Armand is a character in the French Revolutionary-era play "Les deux journées" by Luigi Cherubini and Jean-Nicolas Bouilly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Armand Target entity description: Armand is a character in the French Revolutionary-era play "Les deux journées" by Luigi Cherubini and Jean-Nicolas Bouilly.
-
A.
Armand
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
-
B.
Armand
Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
-
C.
Armand
Armand is the given first name of the 19th-century French physicist Hippolyte Fizeau, known for his pioneering measurements of the speed of light.
-
D.
Armand
Armand is a masculine given name of French origin, historically associated with nobility and used in various European and English-speaking cultures.
-
E.
Armand
Armand is a central vampire character in the "Lestat" musical, adapted from Anne Rice’s The Vampire Chronicles.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847b86688190b678d0d09ecd3c3d |
completed | April 29, 2026, 4:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf2afe2788190844de1fc670d661b |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bfa3b17c88190b5f2d6386f157f72 |
completed | May 19, 2026, 5:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bfad6a38c8190a77f93dcaab644b7 |
completed | May 19, 2026, 5:53 a.m. |
Created at: April 17, 2026, 3:52 p.m.