Triple
T23788010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monique |
E588005
|
entity |
| Predicate | usagePeakDecade |
P79180
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Monique, usagePeakDecade, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usagePeakDecade Context triple: [Monique, usagePeakDecade, 1960s]
-
A.
decadeRecognition
Indicates that an entity is formally recognized, honored, or notable during a specific decade.
-
B.
decade
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
-
C.
decadeList
Indicates that an entity is associated with a list of decades, typically representing time periods relevant to that entity.
-
D.
decadeDefinition
Indicates that one entity specifies or defines the meaning, scope, or characteristics of a particular decade associated with another entity.
-
E.
wasMostPopularInDecade
chosen
Indicates that something held the highest level of popularity among comparable items during a specified decade.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c6332cb48190aa45ca6d8d98ed08 |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:17 p.m.