Triple
T6687405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odette Sansom |
E152133
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Odette |
E235428
|
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: Odette | Statement: [Odette Sansom, givenName, Odette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odette Context triple: [Odette Sansom, givenName, Odette]
-
A.
Odette
chosen
Odette is the enchanted Swan Queen and tragic heroine of Tchaikovsky’s ballet Swan Lake.
-
B.
Odette Myrtil
Odette Myrtil was a French-American actress, violinist, and cabaret performer known for her character roles in Hollywood films and on Broadway during the early to mid-20th century.
-
C.
Odile
Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
-
D.
Armgard
Armgard is a feminine given name of German origin, historically borne by European nobility such as Armgard von Cramm, the mother of Prince Bernhard of Lippe-Biesterfeld.
-
E.
Verena
Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b14e58708190a4ba8ff1c085f160 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b31fa0819089c4debbbbce9d22 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:04 p.m.