Triple
T4342859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micheline Calmy-Rey |
E97826
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Micheline |
E103839
|
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: Micheline | Statement: [Micheline Calmy-Rey, givenName, Micheline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Micheline Context triple: [Micheline Calmy-Rey, givenName, Micheline]
-
A.
Micheline
chosen
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
B.
Martine
Martine is a feminine given name commonly used in French- and English-speaking countries.
-
C.
Mireille
Mireille is a five-act French opera by Charles Gounod, based on Frédéric Mistral’s Provençal poem "Mirèio."
-
D.
Aline
Aline is a feminine given name of French origin, commonly used in various cultures and languages.
-
E.
Françoise
Françoise is the given name of Louise de La Vallière, a 17th-century French noblewoman best known as a mistress of King Louis XIV.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35188e71c8190a3e82fa8d959de94 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dba2b49c81909b7bf87672d71611 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:14 p.m.