Triple
T13939981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Number Ones |
E335214
|
entity |
| Predicate | compilesMaterialFrom |
P53073
|
FINISHED |
| Object | Bad |
E786496
|
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 | Statement: [Number Ones, compilesMaterialFrom, Bad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Context triple: [Number Ones, compilesMaterialFrom, Bad]
-
A.
Bad
"Bad" is a U2 song, originally released on their 1984 album The Unforgettable Fire, known for its emotive live performances and themes of addiction and redemption.
-
B.
Bad
Bad is a German designation granted to spa towns that meet specific health, climate, and therapeutic standards.
-
C.
Bad
chosen
"Bad" is a hit pop song by Michael Jackson, released in 1987 as the title track of his acclaimed album.
-
D.
BAD
BAD is the FAA location identifier assigned to Barksdale Air Force Base in Louisiana, a major United States Air Force installation.
-
E.
BadBadNotGood
BadBadNotGood is a Canadian instrumental group known for blending jazz, hip hop, and electronic influences in experimental, genre-crossing collaborations.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf6e29881908ddb8efca9a456a3 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c81e988190a5fd8e2d83e065fe |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.