Triple
T13085539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destin Daniel Cretton |
E310321
|
entity |
| Predicate | inspiredShortTerm12By |
P107966
|
FINISHED |
| Object | experience working at a group home |
—
|
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: experience working at a group home | Statement: [Destin Daniel Cretton, inspiredShortTerm12By, experience working at a group home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredShortTerm12By Context triple: [Destin Daniel Cretton, inspiredShortTerm12By, experience working at a group home]
-
A.
periodizedAs
Indicates that something has been divided or organized into distinct time periods according to a particular periodization scheme.
-
B.
typicalPeriod
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
C.
quarterLength
Indicates that one entity specifies the length or duration of a quarter (e.g., a time period or segment) associated with another entity.
-
D.
shortSeason
Indicates that the time period or season associated with an entity is relatively brief in duration.
-
E.
sharesProphet
Indicates that two entities recognize or are associated with the same prophet.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981361e8c819099376435aa3a7aa3 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98114a6508190b1e8e018bb5a068c |
completed | April 10, 2026, 11 p.m. |
Created at: April 9, 2026, 9:02 p.m.