Triple
T7644417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do You Want to Build a Snowman? |
E173084
|
entity |
| Predicate | hasChildVersionOfSinger |
P77507
|
FINISHED |
| Object | young Anna |
—
|
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: young Anna | Statement: [Do You Want to Build a Snowman?, hasChildVersionOfSinger, young Anna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildVersionOfSinger Context triple: [Do You Want to Build a Snowman?, hasChildVersionOfSinger, young Anna]
-
A.
hasKaraokeVersion
Indicates that an entity has a corresponding karaoke (instrumental or sing-along) version of itself.
-
B.
hasCoverVersions
Indicates that a musical work has one or more recorded versions performed or produced by artists other than the original creator.
-
C.
hasRoyOrbisonVersion
Indicates that there exists a version or rendition of something that is performed or recorded by Roy Orbison.
-
D.
hasNotableChartingVersionBy
Indicates that an entity has a notable charting version created or performed by the specified agent.
-
E.
hasHookSinger
Indicates that one entity serves as the hook singer (performing the main recurring vocal refrain) for another entity, typically a song or musical track.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf13858819095262664e1e04eb7 |
completed | March 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f574d8a8819095749518dad13791 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:58 p.m.