Triple
T22977276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allison Becker |
E571359
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Laura Benanti |
—
|
NE NERFINISHED |
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: Laura Benanti | Statement: [Allison Becker, portrayedBy, Laura Benanti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Benanti Context triple: [Allison Becker, portrayedBy, Laura Benanti]
-
A.
Laura Benanti
chosen
Laura Benanti is a Tony Award–winning American actress and singer known for her acclaimed performances in numerous Broadway musicals and television series.
-
B.
Beth Leavel
Beth Leavel is a Tony Award–winning American stage actress and singer best known for her work in numerous Broadway musicals.
-
C.
Rachel Messerer
Rachel Messerer was a member of the prominent Messerer family of Russian ballet, known as a relative of legendary ballerina Maya Plisetskaya.
-
D.
Eileen Brennan
Eileen Brennan was an American actress known for her sharp comic timing and memorable character roles in films like "Private Benjamin" and "Clue," as well as numerous television appearances.
-
E.
Kimberly Elise
Kimberly Elise is an American actress known for her powerful performances in films such as "Set It Off," "Beloved," and "Diary of a Mad Black Woman."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:48 p.m.