Triple
T5319451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3 Pears |
E121634
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Blame the Vain |
E121633
|
NE 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: Blame the Vain | Statement: [3 Pears, follows, Blame the Vain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blame the Vain Context triple: [3 Pears, follows, Blame the Vain]
-
A.
Blame the Vain
chosen
Blame the Vain is a country music album by American singer-songwriter Dwight Yoakam, noted for its return to a more traditional honky-tonk sound and for being his first self-produced studio record.
-
B.
Blame It on Me
"Blame It on Me" is a song by American rapper and singer Post Malone from his hit album "Beerbongs & Bentleys."
-
C.
How Can I Blame You
"How Can I Blame You" is a song featured on the album "Darkness and Light."
-
D.
Sorry, Blame It on Me
"Sorry, Blame It on Me" is an R&B/pop song by Akon in which he delivers a public apology addressing personal controversies and media criticism.
-
E.
Blame It on the Sun
"Blame It on the Sun" is a soulful, introspective ballad by Stevie Wonder from his acclaimed 1972 album *Talking Book*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd855407048190bcdb97c7098cc2aa |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf290bb4148190b6f98fcd36d03c02 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 1:59 p.m.