Triple
T36198006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Gregson |
E1047180
|
entity |
| Predicate | storySettingEra |
P180185
|
FINISHED |
| Object | interwar period |
—
|
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: interwar period | Statement: [Michael Gregson, storySettingEra, interwar period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storySettingEra Context triple: [Michael Gregson, storySettingEra, interwar period]
-
A.
storySettingDecade
Indicates the decade in which the events or setting of a story take place.
-
B.
fictionalEra
Indicates the time period or age within a fictional or imaginary setting in which an entity exists or an event occurs.
-
C.
settingDepictedPeriod
Indicates the historical or temporal period in which the setting of something (e.g., a work or scene) is depicted.
-
D.
periodOfFictionalSetting
chosen
Indicates the time period in which the events of a fictional work are set.
-
E.
historicalEraRecreated
Indicates that a past historical era has been reconstructed or simulated, typically for representation, study, or experiential purposes.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:08 p.m.