Triple
T38449795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fugitive Sheriff |
E912139
|
entity |
| Predicate | featuresScreenPersonaPeriod |
P97182
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [The Fugitive Sheriff, featuresScreenPersonaPeriod, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresScreenPersonaPeriod Context triple: [The Fugitive Sheriff, featuresScreenPersonaPeriod, 1930s]
-
A.
periodsGive
Indicates that one period of time provides, yields, or results in something for another period or context.
-
B.
showsTimePeriod
Indicates that one entity presents or displays a specific span or interval of time associated with another entity.
-
C.
focusPeriod
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
D.
appearsInTimePeriod
chosen
Indicates that an entity is present, active, or occurs within a specified time period.
-
E.
timePeriodCategory
Indicates the classification of a time period into a specific category or type (e.g., era, phase, or temporal grouping).
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.