Triple
T20163354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B&M |
E491768
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | GateKeeper |
—
|
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: GateKeeper | Statement: [B&M, notableWork, GateKeeper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GateKeeper Context triple: [B&M, notableWork, GateKeeper]
-
A.
GateKeeper
chosen
GateKeeper is a steel wing roller coaster at Cedar Point in Ohio, renowned for its record-breaking inversions and dramatic keyhole elements, designed by Swiss manufacturer Bolliger & Mabillard.
-
B.
Gatekeeper
Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
-
C.
Gatekeeper
"Gatekeeper" is a powerful song by Jessie Reyez that confronts sexual harassment and exploitation in the music industry.
-
D.
Gatekeeper
Gatekeeper is the demonic spirit from the Ghostbusters franchise that possesses Dana Barrett and serves as a key agent in summoning the god Gozer.
-
E.
the Gatekeeper
The Gatekeeper is a stern, enigmatic figure in Haruki Murakami’s novel "Hard-Boiled Wonderland and the End of the World" who oversees the walled Town and controls the protagonist’s transition into its surreal, mind-centered reality.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66841b7d88190af3606f762d87b24 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.