Triple
T31105901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Times |
E792789
|
entity |
| Predicate | usesIntertitlesInSegment |
P171612
|
FINISHED |
| Object | A Time for Freedom |
—
|
NE NERFINISHED |
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: A Time for Freedom | Statement: [Three Times, usesIntertitlesInSegment, A Time for Freedom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesIntertitlesInSegment Context triple: [Three Times, usesIntertitlesInSegment, A Time for Freedom]
-
A.
containsIntertitlesFrom
Indicates that one entity includes or incorporates intertitles that originate from another entity.
-
B.
hasIntertitlesLanguage
Indicates that the intertitles of a film or audiovisual work are presented in a specified language.
-
C.
hasNoIntertitles
Indicates that the work (typically a film or video) does not contain any intertitles or title cards within its content.
-
D.
silentWithIntertitles
Indicates that a work is a silent production that conveys dialogue or narrative information through intertitles rather than synchronized spoken sound.
-
E.
hasSubtitles
Indicates that one media item provides subtitle text or tracks that accompany another media item or its audio content.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a1ac56b88190a820434b65c9fa23 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 29, 2026, 9:03 p.m.