Triple
T7966792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 808 State |
E185224
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Orbital |
E286431
|
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: Orbital | Statement: [808 State, influenced, Orbital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orbital Context triple: [808 State, influenced, Orbital]
-
A.
Orbital
chosen
Orbital is a British electronic music duo known for their influential role in the 1990s rave and techno scenes and their complex, layered compositions.
-
B.
Orbit
Orbit is a popular brand of sugar-free chewing gum produced by the Wrigley Company, known for its variety of flavors and emphasis on oral health.
-
C.
Orbit
Orbit is a publishing imprint best known for releasing science fiction and fantasy books.
-
D.
Orbit
Orbit is the fuzzy green alien mascot of the Houston Astros, known for his playful antics and fan-friendly entertainment at the team’s baseball games.
-
E.
Orbitron
Orbitron is a retro-futuristic spinning rocket ride in Disneyland’s Tomorrowland that lets guests pilot spacecraft high above the land.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ba3f53c8190a0e9b3de2f1b9645 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0a334e08190ae67a9ca7b51a128 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:13 p.m.