Triple
T8404750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna |
E198466
|
entity |
| Predicate | portrayedByStage |
P1507
|
FINISHED |
| Object | Caissie Levy |
E566904
|
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: Caissie Levy | Statement: [Anna, portrayedByStage, Caissie Levy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caissie Levy Context triple: [Anna, portrayedByStage, Caissie Levy]
-
A.
Caissie Levy
chosen
Caissie Levy is a Canadian stage actress and singer best known for her leading roles in major Broadway and West End musicals, including originating Elsa in Disney’s Frozen on Broadway.
-
B.
Beth Riesgraf
Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
-
C.
Lisa Edelstein
Lisa Edelstein is an American actress and writer best known for her role as Dr. Lisa Cuddy on the television series "House" and for prominent performances in various film and TV dramas and comedies.
-
D.
Daphne Rubin-Vega
Daphne Rubin-Vega is a Panamanian-American actress and singer best known for originating the role of Mimi Márquez in the groundbreaking Broadway musical Rent.
-
E.
Joely Richardson
Joely Richardson is an English actress known for her work in film and television, including roles in projects such as "Nip/Tuck" and various period dramas.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83116bf48190894bd5d5465520ef |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce889d38508190977b112db0253606 |
completed | April 2, 2026, 3:17 p.m. |
Created at: March 30, 2026, 6:05 p.m.