Triple
T675339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Life of Pablo |
E13065
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Noah Goldstein |
E110937
|
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: Noah Goldstein | Statement: [The Life of Pablo, producer, Noah Goldstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah Goldstein Context triple: [The Life of Pablo, producer, Noah Goldstein]
-
A.
Noah Goldstein
chosen
Noah Goldstein is a Grammy-winning recording engineer and producer known for his extensive work with Kanye West and other major hip-hop and pop artists.
-
B.
Nathan Grossman
Nathan Grossman is a Swedish documentary filmmaker best known for directing the climate activist portrait film "I Am Greta."
-
C.
Noah Shebib
Noah "40" Shebib is a Canadian record producer, songwriter, and audio engineer best known for his long-standing collaboration with Drake and his influential, atmospheric production style in contemporary hip hop and R&B.
-
D.
Joshua Michael Stern
Joshua Michael Stern is an American film director and screenwriter known for helming biographical and dramatic feature films.
-
E.
Noah Glass
Noah Glass is an American software developer and entrepreneur best known as one of the early co-founders who helped create and shape Twitter.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac16f129a48190aac137cd96e7f515 |
completed | March 7, 2026, 12:15 p.m. |
Created at: March 1, 2026, 7:36 p.m.