Triple
T24585526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen II (2019 film score) |
E608375
|
entity |
| Predicate | isSequelScoreTo |
P156451
|
FINISHED |
| Object | Frozen (2013 film score) |
—
|
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: Frozen (2013 film score) | Statement: [Frozen II (2019 film score), isSequelScoreTo, Frozen (2013 film score)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSequelScoreTo Context triple: [Frozen II (2019 film score), isSequelScoreTo, Frozen (2013 film score)]
-
A.
hasSequelType
Indicates that one work has a sequel of a specified type or category in relation to another work.
-
B.
hasSequelNumber
Indicates that an entity is followed by another work in a series identified by a specific sequential number.
-
C.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
D.
hasSequelPiece
Indicates that one creative work is a subsequent installment or continuation that follows another work in a series.
-
E.
hasSequelSong
Indicates that one song serves as a sequel or follow-up to another song, continuing or expanding its themes, story, or musical ideas.
- F. None of above. chosen
Provenance (4 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a986dd6481909a2445b697962e09 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.