Triple
T7915283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klaus Badelt |
E183808
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Catwoman (score)
Catwoman (score) is the musical soundtrack composed by Klaus Badelt for the 2004 superhero film "Catwoman."
|
E696879
|
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: Catwoman (score) | Statement: [Klaus Badelt, notableWork, Catwoman (score)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catwoman (score) Context triple: [Klaus Badelt, notableWork, Catwoman (score)]
-
A.
Batwoman
Batwoman is a DC Comics superheroine and crimefighter, often depicted as a wealthy vigilante in Gotham City who operates independently of Batman.
-
B.
Batgirl
Batgirl is a costumed DC Comics superheroine, most commonly portrayed as Barbara Gordon, who fights crime in Gotham City alongside Batman and the Bat-Family.
-
C.
Selina Kyle
Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
-
D.
The Bat
The Bat is a popular inverted boomerang-style roller coaster at Canada's Wonderland known for its intense forward and backward loops.
-
E.
The Catman
The Catman is the feline-inspired stage persona of KISS drummer Peter Criss, known for his cat-like makeup and theatrical rock performances.
- 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: Catwoman (score) Triple: [Klaus Badelt, notableWork, Catwoman (score)]
Generated description
Catwoman (score) is the musical soundtrack composed by Klaus Badelt for the 2004 superhero film "Catwoman."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catwoman (score) Target entity description: Catwoman (score) is the musical soundtrack composed by Klaus Badelt for the 2004 superhero film "Catwoman."
-
A.
Batwoman
Batwoman is a DC Comics superheroine and crimefighter, often depicted as a wealthy vigilante in Gotham City who operates independently of Batman.
-
B.
Batgirl
Batgirl is a costumed DC Comics superheroine, most commonly portrayed as Barbara Gordon, who fights crime in Gotham City alongside Batman and the Bat-Family.
-
C.
Selina Kyle
Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
-
D.
The Bat
The Bat is a popular inverted boomerang-style roller coaster at Canada's Wonderland known for its intense forward and backward loops.
-
E.
The Catman
The Catman is the feline-inspired stage persona of KISS drummer Peter Criss, known for his cat-like makeup and theatrical rock performances.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a759b548190af2e2aa0705d7051 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5be54fdc81909a988114a6f30a13 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f20eb3c81909e059d5a02263aa2 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76bb9a308190a9d7b34838d696db |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:05 p.m.