Triple
T15556302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Age: Continental Drift (film score) |
E370877
|
entity |
| Predicate | includesMotifsFrom |
P31989
|
FINISHED |
| Object | previous Ice Age film scores |
—
|
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: previous Ice Age film scores | Statement: [Ice Age: Continental Drift (film score), includesMotifsFrom, previous Ice Age film scores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMotifsFrom Context triple: [Ice Age: Continental Drift (film score), includesMotifsFrom, previous Ice Age film scores]
-
A.
usesMotifsFrom
chosen
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
B.
featuresMotif
Indicates that something contains, incorporates, or prominently includes a particular recurring motif or pattern.
-
C.
sharesMotifsWith
Indicates that two entities contain or employ similar recurring themes, patterns, or symbolic elements.
-
D.
includesMatch
Indicates that one entity contains or encompasses a particular match or matching instance of another entity.
-
E.
includedBy
Indicates that one entity is contained within, encompassed by, or treated as a subset or member of another entity.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a97dbfc8190a98cbbac5e71ba88 |
completed | April 16, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:09 a.m.