Triple
T12935101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabrina D’Angelo |
E309486
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sabrina |
E603383
|
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: Sabrina | Statement: [Sabrina D’Angelo, givenName, Sabrina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabrina Context triple: [Sabrina D’Angelo, givenName, Sabrina]
-
A.
Sabrina
Sabrina is the granddaughter of Iris Chase, a central character in Margaret Atwood’s novel "The Blind Assassin."
-
B.
Sabrina
chosen
Sabrina is a feminine given name of Latin origin meaning "from the River Severn," used in various cultures around the world.
-
C.
Sabrina
Sabrina is a classic 1954 romantic comedy film directed by Billy Wilder, starring Audrey Hepburn, Humphrey Bogart, and William Holden in a Cinderella-like tale of love and transformation.
-
D.
Sabrina Fair
Sabrina Fair is a romantic comedy play by Samuel Taylor that inspired the classic Audrey Hepburn film "Sabrina."
-
E.
Sabrina Le Beauf
Sabrina Le Beauf is an American actress best known for playing Sondra Huxtable on the hit television sitcom "The Cosby Show."
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc76d688190bd58a23351373666 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6d16388190abc848ac67bf1fb9 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:42 p.m.