Triple
T16953178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embrace |
E411232
|
entity |
| Predicate | hasCollaborationsWith |
P38701
|
FINISHED |
| Object | Bulldozer |
E417079
|
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: Bulldozer | Statement: [Embrace, hasCollaborationsWith, Bulldozer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulldozer Context triple: [Embrace, hasCollaborationsWith, Bulldozer]
-
A.
Bulldozer
chosen
"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.
-
B.
Dozer
Dozer is a human crew member and operator aboard the hovercraft Nebuchadnezzar in the Matrix universe, known for his loyalty and support of Neo.
-
C.
Killdozer
Killdozer is an American noise rock band from Madison, Wisconsin, known for its heavy, sludgy sound and darkly humorous, often politically charged lyrics.
-
D.
Truk
Truk, now known as Chuuk, is a Micronesian island group in the central Pacific Ocean renowned for its sheltered lagoon and numerous World War II shipwrecks popular with divers.
-
E.
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.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01a4ae8819085a6ce01fbc71b0f |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46213b08190b33b48d12bc795d1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.