Triple
T29805648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Running Up That Hill |
E756833
|
entity |
| Predicate | televisionUsageYear |
P12122
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Running Up That Hill, televisionUsageYear, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionUsageYear Context triple: [Running Up That Hill, televisionUsageYear, 2022]
-
A.
hasTelevisionUsage
Indicates that an entity makes use of, accesses, or is associated with the use of a television.
-
B.
televisionExposureLevel
Indicates the degree or amount of exposure an entity has to television content.
-
C.
televisionTechnologyUsed
Indicates that a particular television or television-related product operates using, or is based on, a specified technology.
-
D.
televisionPremiereYear
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
E.
yearOfUse
chosen
Indicates the specific year during which something was in use or actively utilized.
- F. None of above.
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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 5:21 p.m.