Triple
T12759101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veronica Escobar |
E304941
|
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 Escobar, givenName, Veronica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veronica Context triple: [Veronica Escobar, 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 a fictional character known as a relative of Tiffany Maxwell in the film "Silver Linings Playbook."
-
D.
Veronica
Veronica is the full given name of Ronnie Mitchell, a fictional character from the British soap opera EastEnders.
-
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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8d3eb08190ae998df5cc6d9ba6 |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f08fac8190b8c480619696bcd1 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.