Triple
T19907400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Negative |
E478454
|
entity |
| Predicate | subject |
P450
|
FINISHED |
| Object | Zone System |
—
|
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: Zone System | Statement: [The Negative, subject, Zone System]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zone System Context triple: [The Negative, subject, Zone System]
-
A.
Zone System
chosen
The Zone System is a photographic technique for controlling exposure and development to achieve precise tonal range and image detail, widely used in black-and-white photography.
-
B.
Time Zone
Time Zone was a hip hop and electro music project led by Afrika Bambaataa that featured various collaborations and genre-blending experiments in the 1980s.
-
C.
Clock and Region
Clock and Region is a Windows Control Panel section that lets users configure date, time, time zones, and regional settings such as formats and location.
-
D.
Zone Information Protocol
Zone Information Protocol is a network protocol used in AppleTalk to manage and distribute information about logical groupings of devices, known as zones, within an AppleTalk internetwork.
-
E.
GMT360
GMT360 is General Motors' mid-size SUV platform used in the early 2000s for body-on-frame sport utility vehicles across several of its brands.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6598cc5108190bca2a47c9f8ef70f |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:52 p.m.