Triple
T3147703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxygen |
E65802
|
entity |
| Predicate | formerGenreFocus |
P46384
|
FINISHED |
| Object | lifestyle programming |
—
|
LITERAL 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: lifestyle programming | Statement: [Oxygen, formerGenreFocus, lifestyle programming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerGenreFocus Context triple: [Oxygen, formerGenreFocus, lifestyle programming]
-
A.
genre
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
B.
genreOfAppearance
Indicates the genre or type of creative work in which an entity appears.
-
C.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
D.
formerFocus
Indicates that an entity previously served as the primary focus or main subject of attention, but no longer holds that status.
-
E.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
- F. None of above. chosen
Provenance (4 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59a54188190a2e020fd4004d734 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:05 p.m.