Triple
T5092791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miquel |
E114791
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object | Miquelaine |
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: Miquelaine | Statement: [Miquel, hasFeminineForm, Miquelaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miquelaine Context triple: [Miquel, hasFeminineForm, Miquelaine]
-
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.
Madelaine
Madelaine is a character in the Danish crime thriller film "The Salvation."
-
D.
Marzelline
Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
-
E.
Sylla Petit
Sylla Petit is an individual member of the Petit family, known primarily through their association with this family lineage.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd754369708190bf4e171a904a19e1 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba76ef188190ab31623d1a44ebb9 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.