Triple
T10592348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Deep – Mountain High |
E250021
|
entity |
| Predicate | performancesTelevision |
P57975
|
FINISHED |
| Object | performed on various TV shows in the late 1960s |
—
|
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: performed on various TV shows in the late 1960s | Statement: [River Deep – Mountain High, performancesTelevision, performed on various TV shows in the late 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performancesTelevision Context triple: [River Deep – Mountain High, performancesTelevision, performed on various TV shows in the late 1960s]
-
A.
televisionWork
Indicates a relationship where a creative work is produced for, broadcast on, or primarily associated with television.
-
B.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
C.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
D.
presentsPerformancesBy
Indicates that one entity organizes or stages performances that feature or are carried out by another entity.
-
E.
tvShowAppearance
chosen
Indicates that an entity appears or participates in a particular television show.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277c79808190acc872919eadd126 |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:40 p.m.