Triple
T12991061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woman of Steel |
E321905
|
entity |
| Predicate | hasMusicVideoFor |
P3287
|
FINISHED |
| Object |
Bounce
"Bounce" is a song best known as a single by the artist Woman of Steel, accompanied by an official music video.
|
E1015800
|
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: Bounce | Statement: [Woman of Steel, hasMusicVideoFor, Bounce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bounce Context triple: [Woman of Steel, hasMusicVideoFor, Bounce]
-
A.
Bounce
"Bounce" is a popular electro house track by Canadian electronic music duo MSTRKRFT, known for its heavy synths and club-oriented energy.
-
B.
Bounce
"Bounce" is a high-energy dance-pop and Bollywood-influenced single by Australian rapper Iggy Azalea, known for its vibrant production and colorful music video.
-
C.
Bounce
Bounce is a musical release by the artist Crush, known for its smooth R&B style and emotive vocal delivery.
-
D.
Bounce
"Bounce" is a 2002 hard rock album by Bon Jovi that reflects themes of resilience and renewal, influenced in part by the aftermath of the September 11 attacks.
-
E.
Bounce
"Bounce" is a popular Afrobeats song by Nigerian singer Rema, known for its energetic production and catchy, dance-oriented style.
- 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: Bounce Triple: [Woman of Steel, hasMusicVideoFor, Bounce]
Generated description
"Bounce" is a song best known as a single by the artist Woman of Steel, accompanied by an official music video.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bounce Target entity description: "Bounce" is a song best known as a single by the artist Woman of Steel, accompanied by an official music video.
-
A.
Bounce
"Bounce" is a high-energy dance-pop and Bollywood-influenced single by Australian rapper Iggy Azalea, known for its vibrant production and colorful music video.
-
B.
Bounce
"Bounce" is a popular electro house track by Canadian electronic music duo MSTRKRFT, known for its heavy synths and club-oriented energy.
-
C.
Bounce
Bounce is a musical release by the artist Crush, known for its smooth R&B style and emotive vocal delivery.
-
D.
Bounce
"Bounce" is a popular Afrobeats song by Nigerian singer Rema, known for its energetic production and catchy, dance-oriented style.
-
E.
Bounce
Bounce is a character associated with the "Woman of Steel" universe, likely serving as a dynamic, action-oriented counterpart or ally distinguished by agility and resilience.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fca5e4819086b010fdd1813419 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c20a1eb881908a28dc884c2005ef |
completed | May 3, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34b9ec08190bb29458b6f43c388 |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 9, 2026, 8:43 p.m.