Triple
T2133165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glamorous Glennis |
E46588
|
entity |
| Predicate | usedDuringEra |
P4341
|
FINISHED |
| Object | early Cold War |
—
|
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: early Cold War | Statement: [Glamorous Glennis, usedDuringEra, early Cold War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedDuringEra Context triple: [Glamorous Glennis, usedDuringEra, early Cold War]
-
A.
usedDuring
chosen
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
-
B.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
C.
historicalPeriodOfUse
Indicates the time period during which something was in active use or commonly utilized.
-
D.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
-
E.
usedInCentury
Indicates that something (such as an object, practice, or concept) was in use during a specified century.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbba0c42c8190ab3ce4bbf1531ee1 |
completed | March 7, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69abb7bf56e481909b0f497d238451cc |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.