Triple
T3996091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Girl Gone Bad |
E87100
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Take a Bow |
E231132
|
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: Take a Bow | Statement: [Good Girl Gone Bad, single, Take a Bow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take a Bow Context triple: [Good Girl Gone Bad, single, Take a Bow]
-
A.
Take a Bow
chosen
"Take a Bow" is a mid-1990s R&B ballad best known as a hit single by Madonna, notable for its smooth, melancholic tone and strong chart success worldwide.
-
B.
And Still
"And Still" is a reflective, emotionally charged song by English musician Peter Gabriel, known for its atmospheric production and introspective lyrics.
-
C.
Last Seen Wearing
"Last Seen Wearing" is a crime novel in Colin Dexter's Inspector Morse series, featuring the detective's investigation into the disappearance of a schoolgirl.
-
D.
Hold Back the River
"Hold Back the River" is a soulful, folk-influenced pop song by English singer-songwriter James Bay that became one of his breakout hits.
-
E.
The Thrill
"The Thrill" is a soulful R&B track by Miguel from his album "Kaleidoscope Dream," known for its atmospheric production and introspective lyrics.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa2159d88190a01de8b038341916 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5403f14ec8190a77189c7066676f2 |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:34 p.m.