Triple
T2355743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer |
E47548
|
entity |
| Predicate | peakPopularityDecade |
P7068
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Jennifer, peakPopularityDecade, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakPopularityDecade Context triple: [Jennifer, peakPopularityDecade, 1970s]
-
A.
decadeList
Indicates that an entity is associated with a list of decades, typically representing time periods relevant to that entity.
-
B.
peakPopularity
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
-
C.
decade
chosen
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
-
D.
decadeRankingBillboard2000s
Indicates the ranking position an item achieved on Billboard’s overall chart summarizing performance across the entire 2000s decade.
-
E.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:54 p.m.