Triple
T5783262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Veronicas |
E128210
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Lisa Origliasso |
E554778
|
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: Lisa Origliasso | Statement: [The Veronicas, hasMember, Lisa Origliasso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Origliasso Context triple: [The Veronicas, hasMember, Lisa Origliasso]
-
A.
Lisa Origliasso
chosen
Lisa Origliasso is an Australian singer-songwriter best known as one half of the pop duo The Veronicas.
-
B.
Jessica Origliasso
Jessica Origliasso is an Australian singer-songwriter and one half of the pop duo The Veronicas, known for their chart-topping hits and influential presence in 2000s pop-rock music.
-
C.
Drea de Matteo
Drea de Matteo is an American actress best known for her Emmy-winning role as Adriana La Cerva on the television series "The Sopranos."
-
D.
Alyssa Mastromonaco
Alyssa Mastromonaco is an American political strategist and former senior Obama administration official known for her work in White House operations and later as a media executive and author.
-
E.
Jennifer Esposito
Jennifer Esposito is an American actress known for her roles in films like "Crash" and "Summer of Sam" as well as television series such as "Blue Bloods" and "NCIS."
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a184870819084251554eae1e33c |
completed | March 22, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e349d0088190be108aa266d3af82 |
completed | March 23, 2026, 6:52 a.m. |
Created at: March 22, 2026, 3:50 p.m.