Triple
T2362100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda |
E47296
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Yolanda Griffith
Yolanda Griffith is a retired American professional basketball player and Hall of Famer best known as a dominant WNBA center and Olympic gold medalist.
|
E277741
|
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: Yolanda Griffith | Statement: [Yolanda, hasNotableBearer, Yolanda Griffith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yolanda Griffith Context triple: [Yolanda, hasNotableBearer, Yolanda Griffith]
-
A.
Gloria Hatrick McLean
Gloria Hatrick McLean was an American actress and model best known as the longtime wife of Hollywood star James Stewart and for her involvement in social and charitable activities.
-
B.
Gloria Lloyd
Gloria Lloyd is the daughter of legendary silent film comedian Harold Lloyd and was part of his prominent Hollywood family.
-
C.
Evelyn Killebrew
Evelyn Killebrew is best known as one of the former wives of American comedian and actor Redd Foxx.
-
D.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
E.
Vivian Moore
Vivian Moore is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Moore.
- 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: Yolanda Griffith Triple: [Yolanda, hasNotableBearer, Yolanda Griffith]
Generated description
Yolanda Griffith is a retired American professional basketball player and Hall of Famer best known as a dominant WNBA center and Olympic gold medalist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yolanda Griffith Target entity description: Yolanda Griffith is a retired American professional basketball player and Hall of Famer best known as a dominant WNBA center and Olympic gold medalist.
-
A.
Gloria Hatrick McLean
Gloria Hatrick McLean was an American actress and model best known as the longtime wife of Hollywood star James Stewart and for her involvement in social and charitable activities.
-
B.
Gloria Lloyd
Gloria Lloyd is the daughter of legendary silent film comedian Harold Lloyd and was part of his prominent Hollywood family.
-
C.
Evelyn Killebrew
Evelyn Killebrew is best known as one of the former wives of American comedian and actor Redd Foxx.
-
D.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
-
E.
Vivian Moore
Vivian Moore is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Moore.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc74501388190adce9b3e51a03ded |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cce716c8190b87b117b270b9a84 |
completed | March 9, 2026, 11:50 p.m. |
| NEDg | Description generation | batch_69af5dea244c81909bd6bcdba0edf958 |
completed | March 9, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5e6449e4819084313a5b44d46044 |
completed | March 9, 2026, 11:57 p.m. |
Created at: March 4, 2026, 7:55 p.m.