Triple
T5082567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1,039/Smoothed Out Slappy Hours |
E114553
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Slappy |
E114552
|
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: Slappy | Statement: [1,039/Smoothed Out Slappy Hours, hasPart, Slappy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slappy Context triple: [1,039/Smoothed Out Slappy Hours, hasPart, Slappy]
-
A.
Slappy
chosen
Slappy is a fictional ventriloquist’s dummy and recurring villain from R.L. Stine’s Goosebumps series, known for coming to life and causing chaos.
-
B.
Laffing Sal
Laffing Sal is a historic, animatronic laughing woman figure from early 20th-century amusement parks, now preserved as a popular attraction at San Francisco’s Musée Mécanique.
-
C.
Fatso
Fatso is one of the mischievous Ghostly Trio uncles in the 1995 live-action film "Casper," known for his gluttonous, crude, and comedic personality.
-
D.
Big Gipp
Big Gipp is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
-
E.
Paulie Bleeker
Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74fb3df4819082bd8ae64e207ceb |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba6f3eb48190b544bf743829cb0c |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:39 p.m.