Triple
T17858621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Yasbeck |
E446004
|
entity |
| Predicate | hasTwitterUsername |
P2943
|
FINISHED |
| Object | AmyYasbeck4real |
—
|
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: AmyYasbeck4real | Statement: [Amy Yasbeck, hasTwitterUsername, AmyYasbeck4real]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AmyYasbeck4real Context triple: [Amy Yasbeck, hasTwitterUsername, AmyYasbeck4real]
-
A.
Amy Yasbeck
chosen
Amy Yasbeck is an American actress best known for her comedic roles in films like "Problem Child" and for her work on television.
-
B.
Nayla Kassis
Nayla Kassis is a person bearing the surname Kassis, noted as a distinct individual associated with that family name.
-
C.
Yasmine Penniman
Yasmine Penniman is the sister of British-Lebanese singer-songwriter Mika (Michael Holbrook Penniman Jr.), known for her connection to his personal and artistic life.
-
D.
Lyna Khoudri
Lyna Khoudri is an Algerian-French actress known for her acclaimed performances in films such as "Papicha" and Wes Anderson’s "The French Dispatch."
-
E.
Yasmin Kafai
Yasmin Kafai is an educational researcher known for her influential work in constructionist learning, particularly around digital media, game design, and creative computing for children.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978e68ec8190a4306f7b7bb058d7 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.