Triple
T21709009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Paxton |
E535849
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Sleepover |
—
|
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: Sleepover | Statement: [Sara Paxton, performedIn, Sleepover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sleepover Context triple: [Sara Paxton, performedIn, Sleepover]
-
A.
Sleepover
chosen
Sleepover is a 2004 teen comedy film about a group of girls whose overnight party turns into a series of adventurous dares and misadventures.
-
B.
Sleepover
"Sleepover" is a pop song by Jamie Lynn Spears that showcases her transition from child star to contemporary recording artist.
-
C.
Sleepover Bandits
Sleepover Bandits is the nickname given to a group of criminals known for committing robberies while their victims were asleep in their homes.
-
D.
Slumber Party
"Slumber Party" is a pop song by American singer Britney Spears featuring Tinashe, known for its sultry, midtempo vibe and sleepover-themed music video.
-
E.
The Babysitters
The Babysitters is a 2007 independent drama film about a teenage girl who turns her babysitting service into a clandestine call-girl operation for suburban fathers.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5321d34819091f3cd03f7b407c0 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.