Triple
T8905334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Ian Black |
E212042
|
entity |
| Predicate | twitterUsername |
P2943
|
FINISHED |
| Object | michaelianblack |
E212042
|
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: michaelianblack | Statement: [Michael Ian Black, twitterUsername, michaelianblack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: michaelianblack Context triple: [Michael Ian Black, twitterUsername, michaelianblack]
-
A.
michaelianblack
chosen
michaelianblack is the Twitter username of Michael Ian Black, an American comedian, actor, and writer known for his work on shows like "The State" and "Stella."
-
B.
Michael’s
Michael’s is a national arts and crafts retail chain known for selling hobby supplies, home décor, and DIY project materials.
-
C.
Mychael
Mychael is a Canadian film composer best known for his evocative, world music–influenced scores, including the Academy Award–winning soundtrack for "Life of Pi."
-
D.
Mishael
Mishael is one of the three Hebrew youths in the biblical additions to Daniel who, along with his companions, is miraculously preserved in the fiery furnace.
-
E.
Micheal
Micheal is a given name, typically a variant spelling of the more common name Michael.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c3d83081909f181bfd601eaf99 |
completed | April 1, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba2cb5e48190813e9c08198149b0 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:55 p.m.