Triple
T1970605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sully Prudhomme |
E42789
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Armand |
E42789
|
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: Armand | Statement: [Sully Prudhomme, hasGivenName, Armand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armand Context triple: [Sully Prudhomme, hasGivenName, Armand]
-
A.
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.
-
B.
Armand
chosen
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
-
C.
Armand
Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
-
D.
Jules
Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
-
E.
Alphonse
Alphonse is the given first name of the infamous American gangster Al Capone, a major organized crime figure during the Prohibition era.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d2836c8190a35cb6d8e2dd4bdf |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbd9a2dc81909f86fdfa9c646dd0 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.