Triple
T461484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baylor Lady Bears basketball |
E7347
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
DiDi Richards
DiDi Richards is an American professional basketball player and standout defensive guard who rose to prominence starring for the Baylor Lady Bears in college.
|
E57410
|
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: DiDi Richards | Statement: [Baylor Lady Bears basketball, notablePlayer, DiDi Richards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DiDi Richards Context triple: [Baylor Lady Bears basketball, notablePlayer, DiDi Richards]
-
A.
Seal
Seal is a British singer-songwriter known for his soulful voice and hit songs such as "Kiss from a Rose."
-
B.
Paul Young
Paul Young is an American politician serving as the mayor of Memphis, Tennessee.
-
C.
Blake
Blake is a given name and surname used in English-speaking countries for people of any gender.
-
D.
Prince
Prince was an innovative American singer, songwriter, multi-instrumentalist, and producer known for his eclectic musical style, flamboyant stage presence, and profound influence on pop, funk, rock, and R&B music.
-
E.
Teddy Riley
Teddy Riley is an American singer, songwriter, and producer widely credited with pioneering the new jack swing genre that fused R&B with hip-hop.
- 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: DiDi Richards Triple: [Baylor Lady Bears basketball, notablePlayer, DiDi Richards]
Generated description
DiDi Richards is an American professional basketball player and standout defensive guard who rose to prominence starring for the Baylor Lady Bears in college.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DiDi Richards Target entity description: DiDi Richards is an American professional basketball player and standout defensive guard who rose to prominence starring for the Baylor Lady Bears in college.
-
A.
Seal
Seal is a British singer-songwriter known for his soulful voice and hit songs such as "Kiss from a Rose."
-
B.
Paul Young
Paul Young is an American politician serving as the mayor of Memphis, Tennessee.
-
C.
Blake
Blake is a given name and surname used in English-speaking countries for people of any gender.
-
D.
Prince
Prince was an innovative American singer, songwriter, multi-instrumentalist, and producer known for his eclectic musical style, flamboyant stage presence, and profound influence on pop, funk, rock, and R&B music.
-
E.
Teddy Riley
Teddy Riley is an American singer, songwriter, and producer widely credited with pioneering the new jack swing genre that fused R&B with hip-hop.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbed5b88190a45716812eb4cfdf |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44f59e9348190a53c1734b95bc2c3 |
completed | March 1, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69a44fb74a4481908538fa126571f803 |
completed | March 1, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a45011a750819098d2ce4908439eb1 |
completed | March 1, 2026, 2:41 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.