Triple
T8376081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Curtis |
E197579
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Houdini |
E259056
|
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: Houdini | Statement: [Tony Curtis, notableWork, Houdini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Houdini Context triple: [Tony Curtis, notableWork, Houdini]
-
A.
Houdini
chosen
Houdini is most famously Harry Houdini, the early 20th-century illusionist and escape artist renowned for his daring stunts and seemingly impossible escapes.
-
B.
Houdini's Great Escape
Houdini's Great Escape is a haunted-house–themed illusion ride at Six Flags Great Adventure that combines theatrical effects with motion-simulation to create a disorienting escape-room experience.
-
C.
Golem
Golem is a classic 1915 science fiction novel by Polish writer Gustav Meyrink that reimagines the Jewish legend of a mystical clay creature brought to life in the Prague ghetto.
-
D.
Blixem
Blixem is an alternative name for Blitzen, one of Santa Claus’s traditional flying reindeer known from the Christmas poem “A Visit from St. Nicholas.”
-
E.
Stockach
Stockach is a small town in southern Germany’s Baden-Württemberg state, situated near Lake Constance and known historically as a regional administrative and market center.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80bf6b8081909b98762b1f900bef |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7f19ba08190a08cf5aea522c021 |
completed | April 2, 2026, 3:52 a.m. |
Created at: March 30, 2026, 6:01 p.m.