Triple
T13383965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Emerson Arnett |
E319389
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Flaked |
E319393
|
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: Flaked | Statement: [William Emerson Arnett, notableWork, Flaked]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flaked Context triple: [William Emerson Arnett, notableWork, Flaked]
-
A.
Flaked
chosen
Flaked is a Netflix dramedy series co-created by and starring Will Arnett as a self-help guru in Venice, California, whose carefully constructed life begins to unravel.
-
B.
Flakes
Flakes is an indie comedy film centered on a quirky New Orleans cereal bar and its eccentric owner and staff.
-
C.
Flake
"Flake" is a laid-back, acoustic surf-folk song by Jack Johnson that helped establish his mellow, beach-inspired musical style.
-
D.
The Maddening
The Maddening is a 1995 psychological thriller film starring Burt Reynolds as a deranged patriarch who imprisons a young woman and her family.
-
E.
Fractured
Fractured is a 2019 psychological thriller film in which Sam Worthington plays a desperate father whose search for his missing family in a hospital leads him to question reality and his own sanity.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.