Triple
T10394483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Snowman (2017 film) |
E244974
|
entity |
| Predicate | runtimeApproxMinutes |
P4874
|
FINISHED |
| Object | 119 |
—
|
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: 119 | Statement: [The Snowman (2017 film), runtimeApproxMinutes, 119]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runtimeApproxMinutes Context triple: [The Snowman (2017 film), runtimeApproxMinutes, 119]
-
A.
runtimeApprox
Indicates an approximate or estimated duration of time that something (such as a process, program, or event) takes to run or complete.
-
B.
runtimeMinutes
Indicates the total duration of something, typically a media work or process, measured in minutes.
-
C.
runsApproximately
Indicates that an entity performs a running action in a manner that is close to, but not exactly matching, a specified time, distance, speed, or other running-related measure.
-
D.
timeStartApprox
Indicates that the associated event or state begins at an approximate, rather than exact, point in time.
-
E.
hasApproximateDuration
chosen
Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b795fc8190aa50ce3c7360ff83 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:06 p.m.