Triple
T5316399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy Case |
E119160
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Drea de Matteo |
E184762
|
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: Drea de Matteo | Statement: [Wendy Case, portrayedBy, Drea de Matteo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drea de Matteo Context triple: [Wendy Case, portrayedBy, Drea de Matteo]
-
A.
Drea de Matteo
chosen
Drea de Matteo is an American actress best known for her Emmy-winning role as Adriana La Cerva on the television series "The Sopranos."
-
B.
Danielle Spencer
Danielle Spencer is an Australian actress and singer-songwriter best known for her work in film and music as well as her long-term relationship with actor Russell Crowe.
-
C.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
D.
Diahnne Abbott
Diahnne Abbott is an American actress and singer known for her roles in films like "Taxi Driver" and "The King of Comedy."
-
E.
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.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd854fd07c8190b4f1c3c8e618c308 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4114c120819098c2fcc7d1357441 |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 1:54 p.m.