Triple
T21441933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Against Nature |
E528957
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Negative Girl
"Negative Girl" is a jazz-inflected, lyrically enigmatic song by Steely Dan from their 2000 album *Two Against Nature*.
|
E1484734
|
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: Negative Girl | Statement: [Two Against Nature, hasPart, Negative Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Negative Girl Context triple: [Two Against Nature, hasPart, Negative Girl]
-
A.
Unhappy Girl
"Unhappy Girl" is a melancholic, psychedelic rock song by The Doors from their 1967 album "Strange Days."
-
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.
Strange Girl
"Strange Girl" is a track from Laura Marling's critically acclaimed folk album "Song for Our Daughter," noted for its sharp lyrics and intimate, acoustic-driven 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: Negative Girl Triple: [Two Against Nature, hasPart, Negative Girl]
Generated description
"Negative Girl" is a jazz-inflected, lyrically enigmatic song by Steely Dan from their 2000 album *Two Against Nature*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Negative Girl Target entity description: "Negative Girl" is a jazz-inflected, lyrically enigmatic song by Steely Dan from their 2000 album *Two Against Nature*.
-
A.
Unhappy Girl
"Unhappy Girl" is a melancholic, psychedelic rock song by The Doors from their 1967 album "Strange Days."
-
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.
Strange Girl
"Strange Girl" is a track from Laura Marling's critically acclaimed folk album "Song for Our Daughter," noted for its sharp lyrics and intimate, acoustic-driven 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b70322bc8190ae693163ededf5a0 |
completed | April 22, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c9034c3c8190a5c3ea37ef2b44f9 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c993004c81909cc0224947c178e0 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca14cfcc81908565427b504d815e |
completed | May 17, 2026, 2 p.m. |
Created at: April 16, 2026, 6:05 p.m.