Triple
T9427754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reputation Stadium Tour |
E227297
|
entity |
| Predicate | notableSongPerformed |
P11145
|
FINISHED |
| Object | Bad Blood |
E227286
|
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: Bad Blood | Statement: [Reputation Stadium Tour, notableSongPerformed, Bad Blood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Blood Context triple: [Reputation Stadium Tour, notableSongPerformed, Bad Blood]
-
A.
Bad Blood
chosen
"Bad Blood" is a 2015 pop song by Taylor Swift, best known for its high-profile remix featuring Kendrick Lamar and its star-studded, cinematic music video.
-
B.
Bad Blood
"Bad Blood" is a song recorded by the American R&B/rock and roll group The Coasters.
-
C.
Hollywood’s Bleeding
Hollywood’s Bleeding is Post Malone’s third studio album, blending hip hop, pop, and rock influences and featuring hit singles like “Circles” and “Goodbyes.”
-
D.
Drain You
"Drain You" is a grunge song by Nirvana, featured on their landmark 1991 album Nevermind and noted for its dynamic shifts and surreal lyrics.
-
E.
Mad World
"Mad World" is a popular electronic dance track by Australian DJ and producer Timmy Trumpet, known for its energetic festival sound and catchy melodic hooks.
- 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_69d12cd623308190ba55223399ee3aa8 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:49 p.m.