Triple
T23049610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Sasso |
E573970
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Less Than Perfect |
—
|
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: Less Than Perfect | Statement: [Will Sasso, notableWork, Less Than Perfect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Less Than Perfect Context triple: [Will Sasso, notableWork, Less Than Perfect]
-
A.
Less Than Perfect
chosen
Less Than Perfect is an American sitcom that aired in the early 2000s, following the comedic workplace and personal misadventures of a young woman and her quirky colleagues at a television news network.
-
B.
Far From Perfect
"Far From Perfect" is a song by the American rock band Wolves.
-
C.
Nothing Is Perfect
"Nothing Is Perfect" is a song featured on the album "Lucky Thirteen."
-
D.
Less Than One
Less Than One is a collection of autobiographical essays and literary criticism by Joseph Brodsky that reflects on his life, exile, and the nature of art and language.
-
E.
Imperfect Love
Imperfect Love is a play by James Lapine that explores the complexities of romantic relationships and emotional vulnerability.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867b800881909fabf9dca994c9e7 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.