Triple
T17615249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Curtis |
E429065
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | The Chumscrubber |
—
|
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: The Chumscrubber | Statement: [Bonnie Curtis, workedOn, The Chumscrubber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Chumscrubber Context triple: [Bonnie Curtis, workedOn, The Chumscrubber]
-
A.
The Chumscrubber
chosen
The Chumscrubber is a 2005 dark comedy-drama film that satirizes suburban life and teenage alienation through an ensemble story set in a seemingly perfect but emotionally hollow community.
-
B.
Swordfishtrombones
Swordfishtrombones is a critically acclaimed 1983 album by Tom Waits that marked his shift toward a more experimental, avant-garde sound.
-
C.
The Vidiots
The Vidiots is a comedic performance and video art project associated with Ann Magnuson, known for its satirical, pop-culture–infused take on television and media.
-
D.
Mud
Mud is a 2012 American drama film directed by Jeff Nichols, in which Matthew McConaughey plays a fugitive who befriends two boys on the Mississippi River.
-
E.
Mud
Mud is a work created by Sarah Green, likely a notable piece in her artistic or literary portfolio.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3174008190a2b5bb1b061ea4df |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.