Triple
T9002971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS X Mountain Lion |
E215078
|
entity |
| Predicate | includedFeature |
P1393
|
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: [OS X Mountain Lion, includedFeature, Gatekeeper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gatekeeper Context triple: [OS X Mountain Lion, includedFeature, 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.
Gatekeeper
"Gatekeeper" is a powerful song by Jessie Reyez that confronts sexual harassment and exploitation in the music industry.
-
C.
The Gatekeeper
The Gatekeeper is the stage name of a member of Gravediggaz, the influential horrorcore hip hop group known for its dark, horror-themed lyrics and production.
-
D.
GateKeeper
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.
-
E.
The Gate
The Gate is a 1987 supernatural horror film about children who accidentally unleash demonic forces from a mysterious hole in their backyard.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6957bd5481908ce74f32f8d197de |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e0a28c81909b6d2c6cd80e24d4 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.