Triple
T21429875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speak Your Mind |
E528655
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Bad Girlfriend |
—
|
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: Bad Girlfriend | Statement: [Speak Your Mind, hasTrack, Bad Girlfriend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Girlfriend Context triple: [Speak Your Mind, hasTrack, Bad Girlfriend]
-
A.
Bad Girlfriend
chosen
"Bad Girlfriend" is a hard rock song by Canadian band Theory of a Deadman, known for its provocative lyrics and high-energy, guitar-driven sound.
-
B.
Bad Girl
"Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
-
C.
Bad Girl
"Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
-
D.
Bad Girl
"Bad Girl" is a 1931 American pre-Code romantic drama film, directed by Frank Borzage and acclaimed for its realistic portrayal of working-class marriage and its Academy Award–winning achievements.
-
E.
My Girlfriend's Girlfriend
"My Girlfriend's Girlfriend" is a gothic metal song by Type O Negative known for its darkly humorous lyrics about a polyamorous relationship and its distinctive, retro-psychedelic sound.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813ef6a8819089511b8f608c9491 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:49 p.m.