Triple
T6372043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Share Her Journey Award for Best Short Film |
E143371
|
entity |
| Predicate | inceptionApproximation |
P70247
|
FINISHED |
| Object | 21st century |
—
|
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: 21st century | Statement: [Share Her Journey Award for Best Short Film, inceptionApproximation, 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionApproximation Context triple: [Share Her Journey Award for Best Short Film, inceptionApproximation, 21st century]
-
A.
inceptionTime
Indicates the specific point in time when an entity, event, or relationship begins or is first established.
-
B.
inception
Indicates the point in time or event at which something begins, originates, or is first established.
-
C.
inceptionAsSymbol
Indicates that one entity begins to function or be recognized as a symbolic representation or emblem of another entity.
-
D.
approximates
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
-
E.
inceptionPart
Indicates that one entity represents a component, segment, or phase within the initial creation or starting process of another entity.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06829d76c819092b476631459233a |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:33 p.m.