Triple
T6448387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Joseph Chénier |
E139800
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chénier |
E594072
|
NE FINISHED |
How this triple was built (2 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: Chénier | Statement: [Marie-Joseph Chénier, familyName, Chénier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chénier Context triple: [Marie-Joseph Chénier, familyName, Chénier]
-
A.
Chénier
chosen
Chénier is a French surname most notably associated with the 18th-century poet André Chénier.
-
B.
Chenault
Chenault is a free-spirited, alluring young woman who becomes the love interest of journalist Paul Kemp in Hunter S. Thompson’s novel (and film adaptation) *The Rum Diary*.
-
C.
Matapouri
Matapouri is a small coastal settlement in New Zealand known for its scenic beach, sheltered bay, and nearby natural attractions such as Mermaid Pools.
-
D.
Pontcharra
Pontcharra is a small French commune in the Isère department of southeastern France, situated in the Grésivaudan valley between Grenoble and Chambéry.
-
E.
Bressant
Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b1a61c81908610264c098d25b0 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fcb6974819094759e4b7903049b |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:47 p.m.