Triple
T2056379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Irvin |
E45683
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Irvin
Irvin is a surname most prominently associated with former NFL wide receiver and sports commentator Michael Irvin.
|
E228832
|
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: Irvin | Statement: [Michael Irvin, familyName, Irvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irvin Context triple: [Michael Irvin, familyName, Irvin]
-
A.
Isiah Bird
Isiah Bird is an American youth wrestler born without legs who has gained recognition for his athletic achievements and motivational public speaking.
-
B.
Irwin
Irwin is a masculine given name and surname of English origin, historically associated with various notable figures in fields such as entertainment, science, and politics.
-
C.
Earle
Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
-
D.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
E.
Semeka Randall
Semeka Randall is a former American college basketball star and WNBA guard best known for her standout career under coach Pat Summitt at the University of Tennessee.
- 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: Irvin Triple: [Michael Irvin, familyName, Irvin]
Generated description
Irvin is a surname most prominently associated with former NFL wide receiver and sports commentator Michael Irvin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Irvin Target entity description: Irvin is a surname most prominently associated with former NFL wide receiver and sports commentator Michael Irvin.
-
A.
Isiah Bird
Isiah Bird is an American youth wrestler born without legs who has gained recognition for his athletic achievements and motivational public speaking.
-
B.
Irwin
Irwin is a masculine given name and surname of English origin, historically associated with various notable figures in fields such as entertainment, science, and politics.
-
C.
Earle
Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
-
D.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
E.
Semeka Randall
Semeka Randall is a former American college basketball star and WNBA guard best known for her standout career under coach Pat Summitt at the University of Tennessee.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9abdb088190991a620e01dc226f |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2011bf20819094f4f3e88dfde9ea |
completed | March 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69ae20cb479c8190853d0d954af16887 |
completed | March 9, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae21614e74819093617a355f0857c8 |
completed | March 9, 2026, 1:24 a.m. |
Created at: March 4, 2026, 7:40 p.m.