Triple
T15138940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacquizz Rodgers |
E361631
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jacquizz
Jacquizz is a former American football running back best known for his collegiate career at Oregon State and his time in the NFL with teams like the Atlanta Falcons and Tampa Bay Buccaneers.
|
E1139497
|
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: Jacquizz | Statement: [Jacquizz Rodgers, givenName, Jacquizz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacquizz Context triple: [Jacquizz Rodgers, givenName, Jacquizz]
-
A.
Jahleel
Jahleel is a biblical figure known as one of the sons of Zebulun and a progenitor of a clan within the tribe of Israel.
-
B.
Quinton
Quinton is a given name that served as the middle name of American statesman and jurist Walter Q. Gresham.
-
C.
Jahi Di'Allo Winston
Jahi Di'Allo Winston is an American actor known for his roles in films like "The Upside" and "Proud Mary" as well as the television series "Everything Sucks!".
-
D.
Quarles
Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
-
E.
LaMarquis Jefferson
LaMarquis Jefferson is a writer best known for his work on the animated television series "Yeah!"
- 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: Jacquizz Triple: [Jacquizz Rodgers, givenName, Jacquizz]
Generated description
Jacquizz is a former American football running back best known for his collegiate career at Oregon State and his time in the NFL with teams like the Atlanta Falcons and Tampa Bay Buccaneers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jacquizz Target entity description: Jacquizz is a former American football running back best known for his collegiate career at Oregon State and his time in the NFL with teams like the Atlanta Falcons and Tampa Bay Buccaneers.
-
A.
Jahleel
Jahleel is a biblical figure known as one of the sons of Zebulun and a progenitor of a clan within the tribe of Israel.
-
B.
Quinton
Quinton is a given name that served as the middle name of American statesman and jurist Walter Q. Gresham.
-
C.
Jahi Di'Allo Winston
Jahi Di'Allo Winston is an American actor known for his roles in films like "The Upside" and "Proud Mary" as well as the television series "Everything Sucks!".
-
D.
Quarles
Quarles is a surname of English origin borne by various notable individuals, including politicians, judges, and writers.
-
E.
LaMarquis Jefferson
LaMarquis Jefferson is a writer best known for his work on the animated television series "Yeah!"
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b59b488190b0016970647e7483 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfec3ae48190b2d8e853dab00777 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec0c97f4c819084ba9eb2d8f69ceb |
completed | May 9, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec13ccea48190aeb155af012478b8 |
completed | May 9, 2026, 5:08 a.m. |
Created at: April 10, 2026, 3:07 a.m.