Triple
T4114719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alia Shawkat |
E90263
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alia Shawkat |
E90263
|
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: Alia Shawkat | Statement: [Alia Shawkat, name, Alia Shawkat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alia Shawkat Context triple: [Alia Shawkat, name, Alia Shawkat]
-
A.
Alia Shawkat
chosen
Alia Shawkat is an American actress best known for her role as the quick-witted Maeby Fünke on the cult television sitcom "Arrested Development."
-
B.
Adeena Sussman
Adeena Sussman is an American-Israeli cookbook author and food writer known for her vibrant, flavor-forward recipes and collaborations with prominent culinary figures.
-
C.
Mia Kirshner
Mia Kirshner is a Canadian actress known for her dark, nuanced performances in film and television, including her notable role in the crime drama "The Black Dahlia."
-
D.
Farrah Abraham
Farrah Abraham is an American reality television personality, author, and entrepreneur who first gained fame documenting her life as a young mother on MTV.
-
E.
Hannah Fidell
Hannah Fidell is an American filmmaker and television writer-director known for creating and directing intimate, character-driven dramas such as the miniseries "A Teacher."
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01f07c688190a6e3689667587247 |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b8e30448190a1ac0df969c83631 |
completed | March 14, 2026, 2:07 p.m. |
Created at: March 9, 2026, 3:41 p.m.