Triple
T2594160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brittney Griner |
E58189
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Brittney
Brittney is the given name of Brittney Griner, a prominent American professional basketball player and WNBA star.
|
E283877
|
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: Brittney | Statement: [Brittney Griner, givenName, Brittney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brittney Context triple: [Brittney Griner, givenName, Brittney]
-
A.
Brittney Spencer
Brittney Spencer is an American country singer-songwriter known for her soulful vocals, genre-blending style, and rising prominence in contemporary country music.
-
B.
Brittney Cade
Brittney Cade is an American woman best known as the wife of Green Day bassist Mike Dirnt.
-
C.
Breanna
Breanna is the given name of Breanna Stewart, a prominent American professional basketball player and multiple-time WNBA champion and MVP.
-
D.
Natalia Bryant
Natalia Bryant is an American model and the eldest daughter of the late NBA legend Kobe Bryant and Vanessa Bryant.
-
E.
Kaitlyn Dias
Kaitlyn Dias is an American actress best known for voicing the character Riley Andersen in Pixar's animated film "Inside Out."
- 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: Brittney Triple: [Brittney Griner, givenName, Brittney]
Generated description
Brittney is the given name of Brittney Griner, a prominent American professional basketball player and WNBA star.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brittney Target entity description: Brittney is the given name of Brittney Griner, a prominent American professional basketball player and WNBA star.
-
A.
Brittney Spencer
Brittney Spencer is an American country singer-songwriter known for her soulful vocals, genre-blending style, and rising prominence in contemporary country music.
-
B.
Brittney Cade
Brittney Cade is an American woman best known as the wife of Green Day bassist Mike Dirnt.
-
C.
Breanna
Breanna is the given name of Breanna Stewart, a prominent American professional basketball player and multiple-time WNBA champion and MVP.
-
D.
Natalia Bryant
Natalia Bryant is an American model and the eldest daughter of the late NBA legend Kobe Bryant and Vanessa Bryant.
-
E.
Kaitlyn Dias
Kaitlyn Dias is an American actress best known for voicing the character Riley Andersen in Pixar's animated film "Inside Out."
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd427f58c8190af1c1a9724158c96 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af907835188190914a241e8bdf0d4f |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af90f63dac8190b3282b5029d22fab |
completed | March 10, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af918e7b50819082f37f9cdb3271a2 |
completed | March 10, 2026, 3:35 a.m. |
Created at: March 6, 2026, 9:49 p.m.