Triple
T7288799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Girls |
E163940
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bad Girls (song) |
E163940
|
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 Girls (song) | Statement: [Bad Girls, hasPart, Bad Girls (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Girls (song) Context triple: [Bad Girls, hasPart, Bad Girls (song)]
-
A.
Bad Girls
"Bad Girls" is a 1994 American Western film about four former prostitutes on the run, produced and co-written by Lynda Obst.
-
B.
Bad Girls
chosen
"Bad Girls" is a 1979 disco hit album by Donna Summer, widely regarded as one of her signature works and a landmark of the disco era.
-
C.
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.
-
D.
Some Girls
"Some Girls" is a 1978 studio album by The Rolling Stones that marked a gritty, revitalized sound blending rock, punk, and disco influences and became one of their most commercially successful and critically acclaimed releases.
-
E.
Girls, Girls, Girls
"Girls, Girls, Girls" is a popular Jay-Z song produced by Just Blaze, known for its playful narrative about the rapper’s relationships and its soulful, sample-driven beat.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4671e08190874d5e099e883509 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 3 p.m.