Triple
T972041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life in Cold Blood |
E20964
|
entity |
| Predicate | filmingDuration |
P12332
|
FINISHED |
| Object | approximately five years |
—
|
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: approximately five years | Statement: [Life in Cold Blood, filmingDuration, approximately five years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmingDuration Context triple: [Life in Cold Blood, filmingDuration, approximately five years]
-
A.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
B.
transmissionDuration
Indicates the length of time over which a transmission or transfer of data, signal, or content occurs.
-
C.
typicalRecordingDuration
chosen
Indicates the usual or standard length of time that something is recorded.
-
D.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
E.
missionDurationType
Indicates the classification of a mission’s length or time span (e.g., short-term, long-term, extended).
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b44c38f08190997e141d424e9e04 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.