Triple
T13735452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doomtree |
E329931
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | MK Larada |
E1057581
|
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: MK Larada | Statement: [Doomtree, foundedBy, MK Larada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MK Larada Context triple: [Doomtree, foundedBy, MK Larada]
-
A.
MK Larada
chosen
MK Larada is a former member of Doomtree, the Minneapolis-based hip hop collective known for its independent, collaborative approach to rap and production.
-
B.
Kay Rala
Kay Rala is the honorific title used for Xanana Gusmão, a prominent East Timorese independence leader and statesman who served as the country’s first president and later as prime minister.
-
C.
Ado Kaili
Ado Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
-
D.
Lara Lea Yunaska
Lara Lea Yunaska is an American television producer and political figure best known as Lara Trump, the wife of Eric Trump and a prominent surrogate and adviser in Donald Trump’s political campaigns.
-
E.
Jon Jashni
Jon Jashni is an American film and television producer and media executive known for his work on major studio genre films and for leadership roles at companies like Legendary Entertainment.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84dbdc48190a4724bb9c3523b25 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.