Triple
T5772690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iman Shumpert |
E127363
|
entity |
| Predicate | hasInstagramUsername |
P3718
|
FINISHED |
| Object |
@imanshumpert
@imanshumpert is the Instagram account of Iman Shumpert, an American former NBA player and entertainer known for his defensive play and charismatic public persona.
|
E544878
|
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: @imanshumpert | Statement: [Iman Shumpert, hasInstagramUsername, @imanshumpert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @imanshumpert Context triple: [Iman Shumpert, hasInstagramUsername, @imanshumpert]
-
A.
@IndyEleven
@IndyEleven is the official Twitter account of Indy Eleven, a professional soccer club based in Indianapolis, Indiana.
-
B.
Im
Im is a common Korean family name, often romanized as Lim or Yim, with several distinct clan lineages in Korea.
-
C.
IM
IM is the two-letter ISO 3166-1 alpha-2 country code assigned to the Isle of Man.
-
D.
@aplusk
@aplusk is the Twitter handle of American actor, producer, and entrepreneur Ashton Kutcher, known for his roles in film and television and his high-profile presence on social media.
-
E.
IMAs
IMAs are military reservists assigned individually to active-duty units to provide specialized skills and surge support during contingencies or high-demand periods.
- 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: @imanshumpert Triple: [Iman Shumpert, hasInstagramUsername, @imanshumpert]
Generated description
@imanshumpert is the Instagram account of Iman Shumpert, an American former NBA player and entertainer known for his defensive play and charismatic public persona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: @imanshumpert Target entity description: @imanshumpert is the Instagram account of Iman Shumpert, an American former NBA player and entertainer known for his defensive play and charismatic public persona.
-
A.
@IndyEleven
@IndyEleven is the official Twitter account of Indy Eleven, a professional soccer club based in Indianapolis, Indiana.
-
B.
Im
Im is a common Korean family name, often romanized as Lim or Yim, with several distinct clan lineages in Korea.
-
C.
IM
IM is the two-letter ISO 3166-1 alpha-2 country code assigned to the Isle of Man.
-
D.
@aplusk
@aplusk is the Twitter handle of American actor, producer, and entrepreneur Ashton Kutcher, known for his roles in film and television and his high-profile presence on social media.
-
E.
IMAs
IMAs are military reservists assigned individually to active-duty units to provide specialized skills and surge support during contingencies or high-demand periods.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029adda188190a5c26c363614145f |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e686ad88190b34e5e94145b44dc |
completed | March 22, 2026, 11:42 p.m. |
| NEDg | Description generation | batch_69c08d238384819089104f5c778ec315 |
completed | March 23, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08dac9eec8190996f6c537777801b |
completed | March 23, 2026, 12:47 a.m. |
Created at: March 22, 2026, 3:50 p.m.