Triple
T7288860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray of Light |
E163941
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Frozen |
E334021
|
NE 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: Frozen | Statement: [Ray of Light, hasPart, Frozen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frozen Context triple: [Ray of Light, hasPart, Frozen]
-
A.
Frozen
chosen
"Frozen" is a 1998 atmospheric electronic-pop ballad by Madonna, known for its dark, cinematic sound and striking music video that marked a stylistic reinvention in her career.
-
B.
Frozen
Frozen is a hugely popular 2013 Disney animated musical film that follows two royal sisters, Elsa and Anna, and features the hit song "Let It Go."
-
C.
Frozen II
Frozen II is a 2019 animated musical fantasy film from Disney that continues the story of sisters Anna and Elsa as they uncover the origins of Elsa’s powers and the history of their kingdom.
-
D.
Frozen Four
The Frozen Four is the annual semifinal and final weekend of the NCAA Division I men's ice hockey tournament, determining the national collegiate champion.
-
E.
Blancanieves
Blancanieves is a 2012 Spanish silent black-and-white fantasy drama film that reimagines the Snow White fairy tale in 1920s Spain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4671e08190874d5e099e883509 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 3 p.m.