Triple
T7012229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Gide |
E162609
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Corydon
Corydon is a controversial series of dialogues by André Gide that defends homosexuality by arguing for its naturalness and historical prevalence.
|
E635594
|
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: Corydon | Statement: [André Gide, notableWork, Corydon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corydon Context triple: [André Gide, notableWork, Corydon]
-
A.
Corydon, Indiana
Corydon, Indiana is a historic town best known as Indiana’s first state capital and the site of the only Civil War battle fought in the state.
-
B.
Kokomo
"Kokomo" is a 1988 tropical-themed pop song by the Beach Boys that became one of their late-career hits and is widely associated with the film *Cocktail*.
-
C.
Vincennes
Vincennes is a historic commune just east of Paris, France, known for its medieval Château de Vincennes and long-standing royal connections.
-
D.
Warrick
Warrick is a surname of English origin borne by various notable individuals across fields such as music, sports, and public life.
-
E.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
- 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: Corydon Triple: [André Gide, notableWork, Corydon]
Generated description
Corydon is a controversial series of dialogues by André Gide that defends homosexuality by arguing for its naturalness and historical prevalence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corydon Target entity description: Corydon is a controversial series of dialogues by André Gide that defends homosexuality by arguing for its naturalness and historical prevalence.
-
A.
Corydon, Indiana
Corydon, Indiana is a historic town best known as Indiana’s first state capital and the site of the only Civil War battle fought in the state.
-
B.
Kokomo
"Kokomo" is a 1988 tropical-themed pop song by the Beach Boys that became one of their late-career hits and is widely associated with the film *Cocktail*.
-
C.
Vincennes
Vincennes is a historic commune just east of Paris, France, known for its medieval Château de Vincennes and long-standing royal connections.
-
D.
Warrick
Warrick is a surname of English origin borne by various notable individuals across fields such as music, sports, and public life.
-
E.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc58b04c8190af4913dbaf43c3d4 |
completed | March 27, 2026, 7:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a4ff6148190a7a453328507fd6b |
completed | March 28, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69c76c23b3f881909c4aa800690c0293 |
completed | March 28, 2026, 5:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76cb513d881909da349b4b4b88a61 |
completed | March 28, 2026, 5:52 a.m. |
Created at: March 27, 2026, 2:34 p.m.