Triple
T2718252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Supremes |
E60017
|
entity |
| Predicate | peakCommercialSuccess |
P3516
|
FINISHED |
| Object | mid-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: mid-1960s | Statement: [The Supremes, peakCommercialSuccess, mid-1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakCommercialSuccess Context triple: [The Supremes, peakCommercialSuccess, mid-1960s]
-
A.
notableCommercial
Indicates that an entity is particularly well-known or significant in a commercial context, such as advertising, marketing, or business promotion.
-
B.
commercialPeak
chosen
Indicates the time or period when something (such as a product, artist, or business) achieves its highest level of commercial success or popularity.
-
C.
commercialSignificance
Indicates that something has notable economic or business importance, value, or impact in a commercial context.
-
D.
commercialized
Indicates that something has been developed, marketed, or exploited for profit in a commercial context.
-
E.
commercializedIn
Indicates that something has been brought to market or made available for commercial sale or use within a specified place or context.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaad577c8190819d3c641c2406f4 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.