Triple
T20859633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Malcolm |
E513580
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Labyrinth |
—
|
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: Labyrinth | Statement: [Christopher Malcolm, notableWork, Labyrinth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labyrinth Context triple: [Christopher Malcolm, notableWork, Labyrinth]
-
A.
Labyrinth
Labyrinth is a novel by American author Mark T. Sullivan, best known as a suspenseful thriller blending mystery and psychological tension.
-
B.
Labyrinth
chosen
Labyrinth is a 1986 fantasy film directed by Jim Henson, starring David Bowie and Jennifer Connelly, known for its imaginative puppetry, musical numbers, and cult following.
-
C.
Labyrinth
The Labyrinth is a legendary, intricately designed maze in Greek mythology built to confine the Minotaur beneath King Minos’s palace in Crete.
-
D.
Labyrinth
Labyrinth is a remote alpine plateau and maze-like network of tarns, lakes, and rocky ridges in Tasmania’s wilderness, popular with experienced bushwalkers for its dramatic scenery and challenging terrain.
-
E.
Labyrinth
Labyrinth is an Italian power metal band known for its melodic sound and influential role in the European metal scene.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3aabef4819098f0fd24dcc27dbd |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.