Triple
T4419640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DaBaby |
E95065
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Jonathan Kirk |
E443289
|
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: Jonathan Kirk | Statement: [DaBaby, alsoKnownAs, Jonathan Kirk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Kirk Context triple: [DaBaby, alsoKnownAs, Jonathan Kirk]
-
A.
Matthew Kirk
Matthew Kirk is a notable individual who shares the surname Kirk, recognized for achievements significant enough to be distinguished among others with the same name.
-
B.
Jonathan Lyndale Kirk
chosen
Jonathan Lyndale Kirk is an American rapper and songwriter better known by his stage name DaBaby, recognized for his energetic delivery and chart-topping hits in the late 2010s.
-
C.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
D.
James Sikking
James Sikking is an American actor best known for his role as the strict and disciplined Lt. Howard Hunter on the acclaimed television series "Hill Street Blues."
-
E.
Scott Kevan
Scott Kevan is a cinematographer known for his work on feature films, including the science fiction horror movie "The Darkest Hour."
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551fae7c8190abafda0d78f02d89 |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69badb1f4e248190909d29048b91c118 |
completed | March 18, 2026, 5:04 p.m. |
Created at: March 12, 2026, 11:29 p.m.