Triple
T16333585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francine Jones |
E396616
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Francine |
E204725
|
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: Francine | Statement: [Francine Jones, givenName, Francine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francine Context triple: [Francine Jones, givenName, Francine]
-
A.
Francine
chosen
Francine is a feminine given name used in various cultures, often as a French-influenced variant of the name Frances.
-
B.
Zibelle
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
-
C.
Faline
Faline is a young doe in Disney's animated film "Bambi," known as Bambi's childhood friend and later his mate.
-
D.
Rosalie
"Rosalie" is a popular song by composer Cole Porter, featured in the Ella Fitzgerald album "Ella Fitzgerald Sings the Cole Porter Song Book."
-
E.
Rosalie
"Rosalie" is a rock song popularized by Irish band Thin Lizzy, known for its energetic style and storytelling lyrics.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e1da1081909bec6e77e6109dce |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0026173dc081909e00f6647d1f68b3 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.