Triple
T34981161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Oneders |
E1008816
|
entity |
| Predicate | labelInFilm |
P80850
|
FINISHED |
| Object | Play-Tone Records |
—
|
NE NERFINISHED |
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: Play-Tone Records | Statement: [The Oneders, labelInFilm, Play-Tone Records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelInFilm Context triple: [The Oneders, labelInFilm, Play-Tone Records]
-
A.
subjectOfFilm
Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
-
B.
recordLabelInFilm
chosen
Indicates that a particular record label is featured, referenced, or involved within a specific film.
-
C.
labelOf
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
D.
givenNameInFilm
Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
-
E.
hasStageNameInFilm
Indicates that an individual is credited or referred to by a particular stage name in a specific film.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.