Triple
T18754991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amber |
E458626
|
entity |
| Predicate | sawPeakPopularityAround |
P2927
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Amber, sawPeakPopularityAround, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sawPeakPopularityAround Context triple: [Amber, sawPeakPopularityAround, 1980s]
-
A.
peakPopularity
chosen
Indicates the time or context in which something reaches its highest level of popularity relative to other times or contexts.
-
B.
popularInPeriod
Indicates that something is widely liked, used, or influential during a specified time period.
-
C.
famePeak
Indicates the time or point at which an entity reaches its highest level of fame or public recognition.
-
D.
peakedWithinTopTenOn
Indicates that something (such as a work, product, or performance) reached a highest ranking position within the top ten on a specified chart, list, or ranking system.
-
E.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f084208190a4b3563d47154e69 |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.