Triple
T976160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 39/Smooth |
E21056
|
entity |
| Predicate | chronologicallyFollows |
P6702
|
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: [39/Smooth, chronologicallyFollows, Slappy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slappy Context triple: [39/Smooth, chronologicallyFollows, 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.
Elvin
Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
-
D.
Willie
Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
-
E.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46234c88190b2bfc9cafe59d7f7 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cdbd22c819084346de7e729c8a1 |
completed | March 7, 2026, 12:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.