Triple
T9427556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fearless Tour |
E227293
|
entity |
| Predicate | setListIncludes |
P31874
|
FINISHED |
| Object | Picture to Burn |
E600457
|
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: Picture to Burn | Statement: [Fearless Tour, setListIncludes, Picture to Burn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picture to Burn Context triple: [Fearless Tour, setListIncludes, Picture to Burn]
-
A.
Picture to Burn
chosen
"Picture to Burn" is a fiery country song by Taylor Swift that channels post-breakup anger and teenage revenge with sharp, humorous lyrics.
-
B.
The Burn
The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
-
C.
Let 'Em Burn
Let 'Em Burn is a compilation album by New Orleans hip hop group Hot Boys, featuring previously recorded material released after the group had disbanded.
-
D.
"Burn"
"Burn" is an R&B ballad best known as one of Usher's major hits from his 2004 album "Confessions," co-written and produced by Jermaine Dupri.
-
E.
Burnt
Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c91ba1c8190b8331fb1ba58cc61 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1223d3cd8819089fec4c895125049 |
completed | April 4, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:49 p.m.