Triple
T13931022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mustard |
E334990
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Dijon Isaiah McFarlane |
E738385
|
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: Dijon Isaiah McFarlane | Statement: [Mustard, birthName, Dijon Isaiah McFarlane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dijon Isaiah McFarlane Context triple: [Mustard, birthName, Dijon Isaiah McFarlane]
-
A.
Dijon Isaiah McFarlane
chosen
Dijon Isaiah McFarlane, better known as DJ Mustard, is an American record producer and DJ recognized for his influential, minimalist West Coast hip hop and club-oriented sound.
-
B.
Jahi Di'Allo Winston
Jahi Di'Allo Winston is an American actor known for his roles in films like "The Upside" and "Proud Mary" as well as the television series "Everything Sucks!".
-
C.
Dillon Freasier
Dillon Freasier is an American former child actor best known for his role as H.W. Plainview in Paul Thomas Anderson’s film "There Will Be Blood."
-
D.
Keean Johnson
Keean Johnson is an American actor best known for his role as Hugo in the science-fiction film "Alita: Battle Angel."
-
E.
Isaiah Rogers
Isaiah Rogers was a prominent 19th-century American architect known for pioneering hotel design and contributing major public buildings in the United States.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac880f50819080011aef63f48dc8 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:16 p.m.