Triple
T9967645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morpheus |
E195724
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Dozer |
E832016
|
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: Dozer | Statement: [Morpheus, allyOf, Dozer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dozer Context triple: [Morpheus, allyOf, Dozer]
-
A.
Dozer
chosen
Dozer is a human crew member and operator aboard the hovercraft Nebuchadnezzar in the Matrix universe, known for his loyalty and support of Neo.
-
B.
Bulldozer
"Bulldozer" is a 1992 studio album by the American indie rock band Big Black, showcasing their abrasive, noise-driven sound and influential role in the underground rock scene.
-
C.
Sno-Cat tractor
The Sno-Cat tractor is a specialized, tracked over-snow vehicle designed for reliable transportation and hauling in extreme polar and winter conditions.
-
D.
Harvester
Harvester is SUSE’s open-source hyperconverged infrastructure (HCI) platform designed to manage virtual machines and Kubernetes workloads on bare-metal servers.
-
E.
Harvester
Harvester is a UK-based casual dining restaurant chain known for its family-friendly atmosphere and grill-style menu.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71f9d7c8190ac02c53052c1c6ad |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257c002cc8190becc9730b2c01782 |
completed | April 5, 2026, 12:38 p.m. |
Created at: March 30, 2026, 8:47 p.m.