Triple
T16147415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Biller |
E391820
|
entity |
| Predicate | workOn |
P30363
|
FINISHED |
| Object | Houdini |
E771673
|
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: [Ken Biller, workOn, Houdini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Houdini Context triple: [Ken Biller, workOn, Houdini]
-
A.
Houdini
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
chosen
Houdini is a powerful commercial chess engine renowned for its creative attacking style and strong performance in top computer chess competitions.
-
C.
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.
-
D.
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.
-
E.
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.”
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d947e68819081b4b7c757ce71b6 |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a7dc3481909f933acd72d6feff |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.