Triple
T23602254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girls! Girls! Girls! |
E582790
|
entity |
| Predicate | hasElvisPresleyFilm |
P141326
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Girls! Girls! Girls!, hasElvisPresleyFilm, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElvisPresleyFilm Context triple: [Girls! Girls! Girls!, hasElvisPresleyFilm, yes]
-
A.
hasElvisRelatedContent
chosen
Indicates that the subject contains or is associated with content related to Elvis Presley.
-
B.
hasShirleyTempleFilm
Indicates that an entity is associated with or features in a film starring Shirley Temple.
-
C.
hasMusicFilm
Indicates a relationship where a subject is associated with or linked to a film that features or centers around music.
-
D.
hasLiveActionFilm
Indicates that a subject has a corresponding live-action film adaptation or representation.
-
E.
hasNotableFilm
Indicates that an entity is associated with a film that is considered significant, well-known, or particularly noteworthy.
- 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0947bd8819097e26643dc257dc0 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:43 p.m.