Triple
T13717877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swishahouse Records |
E328950
|
entity |
| Predicate | notableRelease |
P13405
|
FINISHED |
| Object | Who Is Mike Jones? |
E382238
|
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: Who Is Mike Jones? | Statement: [Swishahouse Records, notableRelease, Who Is Mike Jones?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Who Is Mike Jones? Context triple: [Swishahouse Records, notableRelease, Who Is Mike Jones?]
-
A.
Who?
"Who?" is a popular song by Jerome Kern and Oscar Hammerstein II that became a standard of early 20th-century American musical theater.
-
B.
Mike Jones
chosen
Mike Jones is an American rapper from Houston, Texas, known for his mid-2000s hit "Back Then" and his role in popularizing the city's chopped and screwed sound.
-
C.
Mike Jones
Mike Jones is a former NFL linebacker best known for making the game-saving tackle for the St. Louis Rams in Super Bowl XXXIV.
-
D.
Mike Jones
Mike Jones is an American entrepreneur and technology executive best known as the former CEO of Myspace and the co-founder of the startup studio Science Inc.
-
E.
Mike Jones
Mike Jones is a screenwriter known for his work in film and television storytelling.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5a23bc8190942568658665bbb0 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.