Triple
T14121804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germaine Franco |
E339923
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Germaine |
E302681
|
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: Germaine | Statement: [Germaine Franco, givenName, Germaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germaine Context triple: [Germaine Franco, givenName, Germaine]
-
A.
Germaine
chosen
Germaine is a central character in Steve Martin’s play "Picasso at the Lapin Agile," serving as the sharp-witted barmaid who anchors the action in the Parisian café.
-
B.
Lucienne
Lucienne is a feminine given name of French origin, traditionally used in Francophone countries.
-
C.
Geneviève
Geneviève is a character in Claude Debussy’s opera "Pelléas et Mélisande," typically portrayed as the mother of Pelléas and Golaud and a figure of quiet, dignified authority within the story.
-
D.
Georgette
Georgette is the given name of British actress Googie Withers, who was born Georgette Lizette Withers.
-
E.
Georgette
Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de60942a588190beff0058a92f7051 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e04184819081633f9cfc0ccab9 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:22 p.m.