Triple
T13348915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasha Banks |
E318022
|
entity |
| Predicate | wrestledForBrand |
P107766
|
FINISHED |
| Object |
Stardom
Stardom is a prominent Japanese women’s professional wrestling promotion known for its high-caliber female talent and dynamic in-ring style.
|
E1035160
|
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: Stardom | Statement: [Sasha Banks, wrestledForBrand, Stardom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stardom Context triple: [Sasha Banks, wrestledForBrand, Stardom]
-
A.
Gwandu
Gwandu is a historic town in northwestern Nigeria known as an important center of Islamic scholarship and traditional authority.
-
B.
La Estrella
La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
-
C.
La Estrella
La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
-
D.
La Estrella
La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
-
E.
Oroshori
Oroshori is an Eastern Iranian Pamiri language spoken in parts of Tajikistan and Afghanistan, closely related to Shughni and sharing many linguistic features with it.
- 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: Stardom Triple: [Sasha Banks, wrestledForBrand, Stardom]
Generated description
Stardom is a prominent Japanese women’s professional wrestling promotion known for its high-caliber female talent and dynamic in-ring style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stardom Target entity description: Stardom is a prominent Japanese women’s professional wrestling promotion known for its high-caliber female talent and dynamic in-ring style.
-
A.
Gwandu
Gwandu is a historic town in northwestern Nigeria known as an important center of Islamic scholarship and traditional authority.
-
B.
La Estrella
La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
-
C.
La Estrella
La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
-
D.
La Estrella
La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
-
E.
Oroshori
Oroshori is an Eastern Iranian Pamiri language spoken in parts of Tajikistan and Afghanistan, closely related to Shughni and sharing many linguistic features with it.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f45c9788190b60095c0d6e2f763 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f720bb48f081908d67d330dcfc2953 |
completed | May 3, 2026, 10:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f721baaf34819081113c586fae013f |
completed | May 3, 2026, 10:21 a.m. |
Created at: April 9, 2026, 9:31 p.m.