Triple
T6052961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Condition humaine |
E134837
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Kyo Gisors
Kyo Gisors is the idealistic revolutionary protagonist of André Malraux’s novel "La Condition humaine," whose political commitment and inner conflicts embody the human struggle against oppression.
|
E563922
|
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: Kyo Gisors | Statement: [La Condition humaine, mainCharacter, Kyo Gisors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyo Gisors Context triple: [La Condition humaine, mainCharacter, Kyo Gisors]
-
A.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
-
B.
Giraud
Giraud is a French surname borne by various notable figures in French history and culture.
-
C.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
D.
Gérson
Gérson is a legendary Brazilian midfielder renowned for orchestrating play in Brazil’s iconic 1970 FIFA World Cup–winning team.
-
E.
Jodoigne
Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
- 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: Kyo Gisors Triple: [La Condition humaine, mainCharacter, Kyo Gisors]
Generated description
Kyo Gisors is the idealistic revolutionary protagonist of André Malraux’s novel "La Condition humaine," whose political commitment and inner conflicts embody the human struggle against oppression.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyo Gisors Target entity description: Kyo Gisors is the idealistic revolutionary protagonist of André Malraux’s novel "La Condition humaine," whose political commitment and inner conflicts embody the human struggle against oppression.
-
A.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
-
B.
Giraud
Giraud is a French surname borne by various notable figures in French history and culture.
-
C.
Ganthier
Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
-
D.
Gérson
Gérson is a legendary Brazilian midfielder renowned for orchestrating play in Brazil’s iconic 1970 FIFA World Cup–winning team.
-
E.
Jodoigne
Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f92b408190b0075766aad315d6 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113ac051c8190b2b8a4985948d8e0 |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c114ad4fb48190a47a77affa0c4940 |
completed | March 23, 2026, 10:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1151f66e48190975e5c9e9b98895a |
completed | March 23, 2026, 10:25 a.m. |
Created at: March 22, 2026, 4:09 p.m.