Triple
T2124895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soul |
E46402
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Mike Jones |
E200751
|
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: Mike Jones | Statement: [Soul, writer, Mike Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Jones Context triple: [Soul, writer, Mike Jones]
-
A.
Mike Jones
chosen
Mike Jones is a screenwriter known for his work in film and television storytelling.
-
B.
John Rich
John Rich was an influential 18th-century English theatre manager and producer, best known for pioneering English pantomime and helping establish Covent Garden as a major London playhouse.
-
C.
Jim Jonsin
Jim Jonsin is a Grammy-winning American record producer and songwriter known for crafting hit tracks across hip hop, pop, and R&B for artists such as Beyoncé, Lil Wayne, and T.I.
-
D.
Machine Gun Kelly
Machine Gun Kelly was a notorious American gangster and bootlegger of the Prohibition era, best known for his involvement in kidnappings and his reputation as a machine gun–wielding criminal.
-
E.
Lil Jon
Lil Jon is an American rapper, producer, and DJ known for popularizing crunk music and his energetic, shouted catchphrases.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb57bc6881909f04a407beff33a6 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae519ead088190a8a7229d998732de |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.