Triple
T7878636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan |
E182921
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Danielle |
unclear NED1
|
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: Danielle | Statement: [Dan, hasVariant, Danielle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danielle Context triple: [Dan, hasVariant, Danielle]
-
A.
Danielle
"Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
-
B.
Danielle
Danielle is the young prodigy and central superheroine of the novel "Chronicles of a Superheroine," known for using her intelligence and creativity to tackle global challenges.
-
C.
Danielle Vitalis
Danielle Vitalis is a British actress known for her role in the sci-fi comedy film "Attack the Block" and appearances in various UK television series.
-
D.
Bree Daniels
Bree Daniels is the troubled New York City call girl and aspiring actress portrayed by Jane Fonda in the 1971 neo-noir film "Klute."
-
E.
Nicole
Nicole is a fictional character from the American sitcom "The Gregory Hines Show."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39bd64e481909f699e7dd2818b8f |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b86c20081909aa029cda7c48d44 |
completed | March 31, 2026, 5:28 a.m. |
Created at: March 30, 2026, 4:57 p.m.