Triple
T9536449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Shumpert |
E230026
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shumpert |
E544874
|
NE FINISHED |
How this triple was built (2 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: Shumpert | Statement: [Terry Shumpert, familyName, Shumpert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shumpert Context triple: [Terry Shumpert, familyName, Shumpert]
-
A.
Shumpert
chosen
Shumpert is the surname of Iman Shumpert, an American former NBA player and entertainer.
-
B.
DeMeco Ryans
DeMeco Ryans is a former NFL linebacker who became a highly regarded defensive coach and is now an NFL head coach.
-
C.
Tegbo
Tegbo is an alternative name for the Tafi language, a Ghanaian language spoken by the Tafi people in the Volta Region.
-
D.
Marcus Schmuck
Marcus Schmuck was an Austrian mountaineer best known as a leading figure in mid-20th-century Himalayan climbing, including pioneering expeditions in the Karakoram.
-
E.
Jerome Tang
Jerome Tang is an American college basketball coach best known for revitalizing the Kansas State Wildcats men's basketball program after a long tenure as an assistant at Baylor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cd6a5c8190835c0910ec38ede3 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c4f1fc08190a1ad3d862717eef3 |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.