Triple
T31485095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mademoiselle from Armentières |
E803252
|
entity |
| Predicate | wasPopularDuring |
P3813
|
FINISHED |
| Object | 1914–1918 |
—
|
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: 1914–1918 | Statement: [Mademoiselle from Armentières, wasPopularDuring, 1914–1918]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPopularDuring Context triple: [Mademoiselle from Armentières, wasPopularDuring, 1914–1918]
-
A.
wasPopularBefore
Indicates that one entity enjoyed a higher level of popularity than another during an earlier time period.
-
B.
achievedPopularityIn
Indicates that an entity became popular or widely recognized within a specified place, group, or context.
-
C.
hasEnduringPopularityOn
Indicates that something continues to be widely liked, used, or appreciated on a particular platform, medium, or context over an extended period of time.
-
D.
wasMostPopularInDecade
Indicates that something held the highest level of popularity among comparable items during a specified decade.
-
E.
popularInPeriod
chosen
Indicates that something is widely liked, used, or influential during a specified time period.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a1b346608190bdea5c07ab2122f2 |
completed | May 3, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:34 p.m.