Triple
T995470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jules Laforgue |
E21485
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Laforgue |
E21485
|
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: Laforgue | Statement: [Jules Laforgue, familyName, Laforgue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laforgue Context triple: [Jules Laforgue, familyName, Laforgue]
-
A.
Jules Laforgue
chosen
Jules Laforgue was a French Symbolist poet known for his innovative free verse, ironic tone, and pioneering use of interior monologue that deeply influenced modernist literature.
-
B.
Alexandrine de Bleschamp
Alexandrine de Bleschamp was a Frenchwoman best known as the second wife of Lucien Bonaparte, brother of Napoleon I, and a member of the extended Bonaparte family.
-
C.
Jean Moréas
Jean Moréas was a Greek-born French poet and critic best known for helping define and promote the Symbolist movement in late 19th-century literature.
-
D.
Roussel
Roussel is a surname of French origin, often used as an alternative spelling of Russell.
-
E.
Paul Verlaine
Paul Verlaine was a 19th-century French poet renowned for his musical, melancholic verse and his influential role in the Symbolist movement.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c75de88190bf7fec7a053f7a90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a18db488190bf7d604fe6a33b9e |
completed | March 7, 2026, 1:37 p.m. |
Created at: March 1, 2026, 7:41 p.m.