Triple
T18614221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Goes |
E454975
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Diamonds |
—
|
NE NERFINISHED |
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: Diamonds | Statement: [Love Goes, hasTrack, Diamonds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diamonds Context triple: [Love Goes, hasTrack, Diamonds]
-
A.
Diamonds
chosen
"Diamonds" is a 2012 pop and R&B ballad by Rihanna that became one of her signature global hit singles.
-
B.
Diamonds
The Diamonds are the Australian national netball team, one of the world’s leading sides and frequent champions in major international netball competitions.
-
C.
Diamonds
"Diamonds" is a novel by Yiddish writer Esther Kreitman that explores Jewish life, family tensions, and social change in early 20th-century Eastern Europe.
-
D.
Diamond
Diamond is a precious crystalline form of carbon renowned for its exceptional hardness, brilliance, and use in jewelry and industrial applications.
-
E.
Diamond
Diamond is a high-level tier in the Caesars Rewards loyalty program that offers members enhanced benefits and exclusive perks at Caesars Entertainment properties.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d03feb88190bbd8889273d82f7f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.