Triple
T31676225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Really Love You |
E808405
|
entity |
| Predicate | writerCreditOnRelease |
P47055
|
FINISHED |
| Object | Stereos |
—
|
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: Stereos | Statement: [I Really Love You, writerCreditOnRelease, Stereos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writerCreditOnRelease Context triple: [I Really Love You, writerCreditOnRelease, Stereos]
-
A.
hasWritingCreditOn
chosen
Indicates that an entity is credited as a writer or co-writer for a particular work or production.
-
B.
screenwriterCreditContext
Indicates the contextual details or circumstances under which a person is credited as a screenwriter for a particular work.
-
C.
screenplayCredit
Indicates that one entity is credited for writing or contributing to the screenplay of another entity (typically a film, episode, or similar work).
-
D.
artistNameCredit
Indicates that a specific artist is credited by name for their contribution to a work or production.
-
E.
authorAsCredited
Indicates the relationship between a work and the person or entity credited as its author, regardless of actual authorship.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:03 p.m.