Triple
T13004464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Hart |
E322248
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Dai Vernon |
E1016151
|
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: Dai Vernon | Statement: [Christopher Hart, influencedBy, Dai Vernon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dai Vernon Context triple: [Christopher Hart, influencedBy, Dai Vernon]
-
A.
Dai Vernon
chosen
Dai Vernon was a legendary Canadian magician and sleight-of-hand artist, often called "The Professor," who profoundly influenced modern close-up magic.
-
B.
Harry Houdini
Harry Houdini was a world-famous early 20th-century magician and escape artist renowned for his daring stunts, illusions, and feats of physical endurance.
-
C.
Melvin Gardner
Melvin Gardner was the brother of famed American actress Ava Gardner and a member of the Gardner family from North Carolina.
-
D.
Penn Jillette
Penn Jillette is an American magician, comedian, author, and outspoken skeptic best known as half of the magic duo Penn & Teller.
-
E.
Harry Kesten
Harry Kesten was a prominent mathematician known for his influential work in probability theory, particularly in percolation theory and random walks.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbc5c9a88190b70bda472bf3b062 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:47 p.m.