Triple
T2396378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac |
E47659
|
entity |
| Predicate | hasSecurityFeature |
P2368
|
FINISHED |
| Object | Gatekeeper |
E41427
|
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: Gatekeeper | Statement: [Mac, hasSecurityFeature, Gatekeeper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gatekeeper Context triple: [Mac, hasSecurityFeature, Gatekeeper]
-
A.
Gatekeeper
chosen
Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
-
B.
Thunder Gate
Thunder Gate is the iconic outer entrance gate to Tokyo’s Sensō-ji Temple, famous for its massive red lantern and statues of protective deities.
-
C.
New Gate
New Gate is one of the historic entrances in the walls of Jerusalem’s Old City, providing access to the Christian Quarter and reflecting late Ottoman-era modifications to the ancient fortifications.
-
D.
Crossgates
Crossgates is a small village in Fife, Scotland, situated near the town of Dalgety Bay.
-
E.
Sleeper
Sleeper is a 1973 science-fiction comedy film by Woody Allen that satirizes futuristic society through the misadventures of a man who wakes up 200 years after being cryogenically frozen.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c4a8bc819086892a75caac0207 |
completed | March 7, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3de3d548190b3eda939fa5f72b3 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:57 p.m.