Triple
T34696699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MA International Film Business |
E891049
|
entity |
| Predicate | durationTypically |
P7618
|
FINISHED |
| Object | one year full-time |
—
|
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: one year full-time | Statement: [MA International Film Business, durationTypically, one year full-time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationTypically Context triple: [MA International Film Business, durationTypically, one year full-time]
-
A.
typicalDurationDays
chosen
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
B.
commonDuration
Indicates that two or more events, actions, or states share the same length of time.
-
C.
durationDepicted
Indicates that a representation (such as a media item or depiction) specifies or conveys the length of time over which an event, process, or state occurs.
-
D.
duración
Indicates the length of time or period over which something lasts or continues.
-
E.
typicalDurationInAdults
Indicates the usual length of time this condition, event, or process lasts in adult individuals.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 2:05 a.m.