Triple
T7819125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine |
E181083
|
entity |
| Predicate | wasMostPopularInDecade |
P79180
|
FINISHED |
| Object | 1960s (in the United States) |
—
|
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 (in the United States) | Statement: [Christine, wasMostPopularInDecade, 1960s (in the United States)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMostPopularInDecade Context triple: [Christine, wasMostPopularInDecade, 1960s (in the United States)]
-
A.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
-
B.
endedInDecade
Indicates that an event, process, or state concluded during a specified decade.
-
C.
usedInDecade
Indicates that something was in use or commonly utilized during a specified decade.
-
D.
adoptedInDecade
Indicates that an entity was adopted or formally taken up during a specific ten-year time period (decade).
-
E.
decade
Indicates that the relationship or event is associated with, occurs within, or is characteristic of a specific ten-year time period.
- F. None of above. chosen
Provenance (4 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf97247c481908b18287eb7ee0a53 |
completed | March 30, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:40 p.m.