Triple
T17369165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veronica De Laurentiis |
E422263
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Veronica |
E920582
|
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: Veronica | Statement: [Veronica De Laurentiis, givenName, Veronica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veronica Context triple: [Veronica De Laurentiis, givenName, Veronica]
-
A.
Veronica
Veronica is a Dutch commercial television channel known for broadcasting popular entertainment programs, including the Dutch version of the reality show Big Brother.
-
B.
Veronica
Veronica is the central character in the television series "Dads," around whom much of the show's story and humor revolves.
-
C.
Veronica
Veronica is the given first name of the American actress and comedian Patsy Kelly.
-
D.
Veronica
Veronica is a fictional character known as a relative of Tiffany Maxwell in the film "Silver Linings Playbook."
-
E.
Veronica
chosen
Veronica is a feminine given name of Latin origin, commonly associated with the meaning "she who brings victory" or "true image."
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6842388190940235198fa50041 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.