Triple
T10796345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerian Grant |
E254716
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Jerahmy Grant
Jerahmy Grant is a member of the Grant family of American basketball players, related to NBA guard Jerian Grant.
|
E885592
|
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: Jerahmy Grant | Statement: [Jerian Grant, sibling, Jerahmy Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerahmy Grant Context triple: [Jerian Grant, sibling, Jerahmy Grant]
-
A.
Jerai Grant
Jerai Grant is an American professional basketball player known for his collegiate career at Clemson and for playing as a forward in various international leagues.
-
B.
Jharrel Jerome
Jharrel Jerome is an American actor known for his breakout role in the film "Moonlight" and his Emmy-winning performance in the miniseries "When They See Us."
-
C.
Ja'Mya Yancey
Ja'Mya Yancey is the daughter of the influential hip-hop producer and rapper James Dewitt Yancey, better known as J Dilla.
-
D.
Jamir Jones
Jamir Jones is an American football linebacker who has played in the NFL, including for the Pittsburgh Steelers.
-
E.
Jamal Greene
Jamal Greene is a prominent American constitutional law scholar and professor known for his work on rights adjudication and the interpretation of the U.S. Constitution.
- 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: Jerahmy Grant Triple: [Jerian Grant, sibling, Jerahmy Grant]
Generated description
Jerahmy Grant is a member of the Grant family of American basketball players, related to NBA guard Jerian Grant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jerahmy Grant Target entity description: Jerahmy Grant is a member of the Grant family of American basketball players, related to NBA guard Jerian Grant.
-
A.
Jerai Grant
Jerai Grant is an American professional basketball player known for his collegiate career at Clemson and for playing as a forward in various international leagues.
-
B.
Jharrel Jerome
Jharrel Jerome is an American actor known for his breakout role in the film "Moonlight" and his Emmy-winning performance in the miniseries "When They See Us."
-
C.
Ja'Mya Yancey
Ja'Mya Yancey is the daughter of the influential hip-hop producer and rapper James Dewitt Yancey, better known as J Dilla.
-
D.
Jamir Jones
Jamir Jones is an American football linebacker who has played in the NFL, including for the Pittsburgh Steelers.
-
E.
Jamal Greene
Jamal Greene is a prominent American constitutional law scholar and professor known for his work on rights adjudication and the interpretation of the U.S. Constitution.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73332dbfc8190904434846957b618 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5654e2c48190a8f078b8164707e2 |
completed | April 14, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_69de5eae7ab88190a0c512cfe61e3458 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de60907e1081908405b6d71adbd388 |
completed | April 14, 2026, 3:43 p.m. |
Created at: April 8, 2026, 9:17 p.m.