Triple
T20953056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rescue |
E516026
|
entity |
| Predicate | reflectsAuthorExperience |
P115636
|
FINISHED |
| Object | life under totalitarian regimes |
—
|
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: life under totalitarian regimes | Statement: [Rescue, reflectsAuthorExperience, life under totalitarian regimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsAuthorExperience Context triple: [Rescue, reflectsAuthorExperience, life under totalitarian regimes]
-
A.
relatedToAuthorExperience
chosen
Indicates that something has a connection to, is influenced by, or is derived from the author's personal experiences.
-
B.
reflectsInterestOfAuthorIn
Indicates that something expresses or reveals the author’s interest in a particular subject, entity, or topic.
-
C.
readerExperience
Indicates the level or nature of engagement, understanding, or impact that a text or content has on its reader.
-
D.
gaveFirsthandExperienceOf
Indicates that one entity directly provided another entity with personal, firsthand experience of something, rather than secondhand or indirect knowledge.
-
E.
readingExperience
Indicates the relationship in which an entity engages with written or visual material, capturing the act, manner, or quality of that reading activity.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fadf85f88190924d3919b9e665e4 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 1:27 p.m.