Triple
T6268268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Hawaii |
E140466
|
entity |
| Predicate | hasElvisFilmOrder |
P1109
|
FINISHED |
| Object | third Elvis Presley film for Paramount |
—
|
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: third Elvis Presley film for Paramount | Statement: [Blue Hawaii, hasElvisFilmOrder, third Elvis Presley film for Paramount]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElvisFilmOrder Context triple: [Blue Hawaii, hasElvisFilmOrder, third Elvis Presley film for Paramount]
-
A.
hasMusicFilmSeries
Indicates that a subject is associated with or includes a series of films that are centered around music or musical themes.
-
B.
hasOrder
chosen
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
-
C.
hasMusicFilm
Indicates a relationship where a subject is associated with or linked to a film that features or centers around music.
-
D.
hasFilmStyle
Indicates that a film exhibits or is characterized by a particular cinematic style or aesthetic approach.
-
E.
hasNameOrder
Indicates the specific sequence or arrangement in which the components of a name (e.g., given name, family name, titles) are ordered.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a28da081909f4bec8f7c1dedef |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.