Triple
T21875921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cis Corman |
E540143
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Up the Sandbox |
—
|
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: Up the Sandbox | Statement: [Cis Corman, notableWork, Up the Sandbox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Up the Sandbox Context triple: [Cis Corman, notableWork, Up the Sandbox]
-
A.
Up the Sandbox
chosen
Up the Sandbox is a 1972 American comedy-drama film starring Barbra Streisand as a young mother who escapes her frustrations through vivid fantasy sequences.
-
B.
Sandbox Love
"Sandbox Love" is a song by the Canadian indie rock band Alvvays from their album *Such Pretty Forks in the Road*.
-
C.
Sandbox
Sandbox is the open-ended, physics-based game mode in Garry's Mod that lets players freely spawn, manipulate, and experiment with objects and tools without predefined objectives.
-
D.
Sand and Foam
Sand and Foam is a collection of aphorisms, parables, and poetic prose by Lebanese-American writer and philosopher Kahlil Gibran, exploring themes of love, spirituality, and the human condition.
-
E.
Shake the Sand
"Shake the Sand" is a country song featured on Luke Bryan's album *Tailgates & Tanlines*.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33957f481908789b054a4fd1b77 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.