Triple
T1914965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laffing Sal |
E39995
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Laughing Sal |
E39995
|
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: Laughing Sal | Statement: [Laffing Sal, hasNameVariant, Laughing Sal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laughing Sal Context triple: [Laffing Sal, hasNameVariant, Laughing Sal]
-
A.
Laffing Sal
chosen
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.
-
B.
Blagg
Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
-
C.
Moe
Moe is the nickname of Moe Berg, an American baseball player who famously served as a spy during World War II.
-
D.
MacPhisto
MacPhisto is a theatrical, devilish alter ego adopted by U2’s Bono during the Zoo TV Tour, used to satirize fame, politics, and media excess.
-
E.
Mr. Teabag
Mr. Teabag is a comically absurd civil servant portrayed by John Cleese in Monty Python’s “Ministry of Silly Walks” sketch, known for his exaggerated, nonsensical way of walking.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1e403d88190822082b4b5135e70 |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3d7df908190891448dfa8bb4fb0 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.