Triple
T11940957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jocelyn |
E284174
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Jocelyne |
E284174
|
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: Jocelyne | Statement: [Jocelyn, hasVariant, Jocelyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jocelyne Context triple: [Jocelyn, hasVariant, Jocelyne]
-
A.
Jocelyn
chosen
Jocelyn is a given name commonly used for people of any gender, often associated with the nickname "Jo."
-
B.
Josiane
Josiane is a central character in Victor Hugo's novel "L'Homme qui rit," known as a beautiful yet morally complex noblewoman whose actions significantly influence the tragic narrative.
-
C.
Yvette
Yvette is the given first name of the acclaimed American singer Chaka Khan.
-
D.
Alicia Landry
Alicia Landry is the widow of legendary Dallas Cowboys head coach Tom Landry and was known for her active role in charitable and community work alongside him.
-
E.
Annelise
Annelise is the given name of Anni Albers, the influential German-born textile artist and printmaker associated with the Bauhaus and later American modernism.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458b9a35c8190875cb5ac7c9bcfba |
completed | May 1, 2026, 7:39 a.m. |
Created at: April 8, 2026, 9:45 p.m.