Triple
T14081409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theory of a Deadman |
E338877
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bad Girlfriend
"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.
|
E1078296
|
NE FINISHED |
How this triple was built (4 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: [Theory of a Deadman, notableWork, Bad Girlfriend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Girlfriend Context triple: [Theory of a Deadman, notableWork, Bad Girlfriend]
-
A.
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.
-
B.
Bad Girl
"Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
-
C.
Bad Friend
"Bad Friend" is a synth-pop song by Rina Sawayama that explores the emotional fallout of a broken friendship with cinematic production and confessional lyrics.
-
D.
Little Bad Girl
"Little Bad Girl" is a dance-pop and electro house single by French DJ and producer David Guetta, featuring Taio Cruz and Ludacris.
-
E.
Good Girl Gone Bad
Good Girl Gone Bad is Rihanna's critically acclaimed 2007 pop and R&B album that marked her transition to a more edgy, mature image and sound.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bad Girlfriend Triple: [Theory of a Deadman, notableWork, Bad Girlfriend]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Girlfriend Target entity description: "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.
-
A.
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.
-
B.
Bad Girl
"Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
-
C.
Bad Friend
"Bad Friend" is a synth-pop song by Rina Sawayama that explores the emotional fallout of a broken friendship with cinematic production and confessional lyrics.
-
D.
Little Bad Girl
"Little Bad Girl" is a dance-pop and electro house single by French DJ and producer David Guetta, featuring Taio Cruz and Ludacris.
-
E.
Good Girl Gone Bad
Good Girl Gone Bad is Rihanna's critically acclaimed 2007 pop and R&B album that marked her transition to a more edgy, mature image and sound.
- F. None of above. chosen
Provenance (5 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6749c3c81909833a0b6ddcae3fb |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc44b8f3c8190a7dc5a98239be1a5 |
completed | May 7, 2026, 4:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc4d99f608190a6dddfda19bf0685 |
completed | May 7, 2026, 4:59 p.m. |
Created at: April 9, 2026, 10:21 p.m.