Triple
T17898647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert-Houdin |
E447500
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Harry Houdini |
—
|
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: Harry Houdini | Statement: [Robert-Houdin, influenced, Harry Houdini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Houdini Context triple: [Robert-Houdin, influenced, Harry Houdini]
-
A.
Harry Houdini
chosen
Harry Houdini was a world-famous early 20th-century magician and escape artist renowned for his daring stunts, illusions, and feats of physical endurance.
-
B.
Bess Houdini
Bess Houdini was an American stage assistant and performer best known as the wife and professional partner of famed escape artist Harry Houdini.
-
C.
Robert-Houdin
Robert-Houdin was a 19th-century French magician and illusionist widely regarded as the father of modern conjuring.
-
D.
Uri Geller
Uri Geller is an Israeli-British illusionist and self-proclaimed psychic best known for his controversial spoon-bending feats and high-profile demonstrations of alleged paranormal abilities.
-
E.
Dai Vernon
Dai Vernon was a legendary Canadian magician and sleight-of-hand artist, often called "The Professor," who profoundly influenced modern close-up magic.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d81e00881908a46305af66fdf1a |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 10, 2026, 10:19 a.m.