Triple
T526208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBCUniversal |
E10923
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Oxygen
Oxygen is an American television network primarily known for its true-crime and reality programming, targeting a female-oriented audience.
|
E65802
|
NE FINISHED |
How this triple was built (4 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: [NBCUniversal, owns, Oxygen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxygen Context triple: [NBCUniversal, owns, Oxygen]
-
A.
Air
"Air" is a 2023 biographical sports drama film directed by Ben Affleck that chronicles Nike's pursuit of a young Michael Jordan, in which Matt Damon stars as talent scout Sonny Vaccaro.
-
B.
Luchtcomponent
Luchtcomponent is the Dutch name for the air component of the Belgian Armed Forces, responsible for Belgium’s military aviation operations.
-
C.
Boric
Boric is the surname of Gabriel Boric, the Chilean politician who became one of the world’s youngest heads of state when he was elected President of Chile.
-
D.
Mercury
Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
-
E.
Mercury
Mercury is the smallest and innermost planet in our Solar System, known for its extreme temperature variations and heavily cratered surface.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oxygen Triple: [NBCUniversal, owns, Oxygen]
Generated description
Oxygen is an American television network primarily known for its true-crime and reality programming, targeting a female-oriented audience.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oxygen Target entity description: Oxygen is an American television network primarily known for its true-crime and reality programming, targeting a female-oriented audience.
-
A.
Air
"Air" is a 2023 biographical sports drama film directed by Ben Affleck that chronicles Nike's pursuit of a young Michael Jordan, in which Matt Damon stars as talent scout Sonny Vaccaro.
-
B.
Luchtcomponent
Luchtcomponent is the Dutch name for the air component of the Belgian Armed Forces, responsible for Belgium’s military aviation operations.
-
C.
Boric
Boric is the surname of Gabriel Boric, the Chilean politician who became one of the world’s youngest heads of state when he was elected President of Chile.
-
D.
Mercury
Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
-
E.
Mercury
Mercury is the smallest and innermost planet in our Solar System, known for its extreme temperature variations and heavily cratered surface.
- F. None of above. chosen
Provenance (5 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d0d22081908aad915482d39e74 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b24157608190b4c7df2cae453a1f |
completed | March 1, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69a4b4117f60819093b6eed4e9eb4630 |
completed | March 1, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4b476ecc881909ff7efbb3299ace3 |
completed | March 1, 2026, 9:49 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.