Triple
T10000160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Cable Productions |
E197303
|
entity |
| Predicate | distributionChannel |
P1486
|
FINISHED |
| Object | Oxygen |
E65802
|
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: Oxygen | Statement: [Universal Cable Productions, distributionChannel, Oxygen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxygen Context triple: [Universal Cable Productions, distributionChannel, Oxygen]
-
A.
Oxygen
chosen
Oxygen is an American television network primarily known for its true-crime and reality programming, targeting a female-oriented audience.
-
B.
O2
O2 is a major UK mobile network operator and telecommunications services provider owned by Telefónica.
-
C.
O2
O2 is the second observing run of the LIGO–Virgo gravitational-wave detectors, during which multiple gravitational-wave events from compact binary mergers were detected.
-
D.
Oxygène
Oxygène is a landmark 1976 electronic music album by French composer Jean-Michel Jarre, renowned for its atmospheric synthesizer soundscapes and major influence on the genre.
-
E.
Helium
Helium is a lightweight, educational implementation of the Haskell programming language designed to simplify learning and teaching functional programming.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8dc9c081909b6d20909ada09cf |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d25854c524819081315b1a8faf335e |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:51 p.m.