Triple
T11614044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Scales of Justice (1914 film) |
E275458
|
entity |
| Predicate | hasRunningTimeCharacteristic |
P74363
|
FINISHED |
| Object | short feature (typical of 1914 dramas) |
—
|
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: short feature (typical of 1914 dramas) | Statement: [The Scales of Justice (1914 film), hasRunningTimeCharacteristic, short feature (typical of 1914 dramas)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRunningTimeCharacteristic Context triple: [The Scales of Justice (1914 film), hasRunningTimeCharacteristic, short feature (typical of 1914 dramas)]
-
A.
hasRunningTimeCategory
chosen
Indicates that an entity is associated with a specific category based on its running time or duration.
-
B.
hasTypicalUseTime
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
-
C.
hasEpisodeRuntime
Indicates the duration of time that each individual episode of a series or show runs.
-
D.
lengthInMinutes
Indicates the duration of something expressed as a number of minutes.
-
E.
extendedEditionRuntimeMinutes
Indicates the duration, measured in minutes, of the extended edition version of a work.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a044a3088190b92f4674c2d0b443 |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.