Triple
T20433616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil Jon |
E501194
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Jonathan Smith |
—
|
NE NERFINISHED |
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: Jonathan Smith | Statement: [Lil Jon, birthName, Jonathan Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Smith Context triple: [Lil Jon, birthName, Jonathan Smith]
-
A.
Jonathan Smith
chosen
Jonathan Smith, better known by his stage name Lil Jon, is an American rapper, producer, and DJ widely recognized as a pioneer of the crunk subgenre of hip hop.
-
B.
Jonathan Smith
Jonathan Smith is the compassionate, angelic drifter who helps people in need in the television series "Highway to Heaven."
-
C.
Jonathan Smith
Jonathan Smith is an author known for writing the work titled "Shots."
-
D.
Jonathan Smith
Jonathan Smith is an American college football coach best known for leading the Oregon State Beavers program.
-
E.
Justin Smith
Justin Smith, better known as Just Blaze, is an American hip-hop record producer and DJ renowned for his influential work with artists like Jay-Z, Eminem, and Kanye West.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ecf7ac81908e9c2ef4348fb281 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.