Triple
T1518516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen |
E32172
|
entity |
| Predicate | disneyAnimatedFeatureNumber |
P30077
|
FINISHED |
| Object | 53 |
—
|
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: 53 | Statement: [Frozen, disneyAnimatedFeatureNumber, 53]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disneyAnimatedFeatureNumber Context triple: [Frozen, disneyAnimatedFeatureNumber, 53]
-
A.
bestAnimatedFeatureWinner
Indicates that the subject is the winner of the Best Animated Feature award in a given context or event.
-
B.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
C.
numberOfFilmsAppearedIn
Indicates the total count of distinct films in which a given entity has appeared.
-
D.
narrativeFeature
Indicates that one element functions as a narrative-related characteristic, device, or structural component of another.
-
E.
numberOfActs
Indicates the total count of discrete acts or actions associated with a given entity or event.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a93d462f208190b27ef5cd631bce12 |
completed | March 5, 2026, 8:22 a.m. |
Created at: March 4, 2026, 7:26 p.m.