Triple
T16696557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockstar Made |
E405730
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Outtatown |
E1229903
|
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: Outtatown | Statement: [Rockstar Made, producer, Outtatown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Outtatown Context triple: [Rockstar Made, producer, Outtatown]
-
A.
Outtatown
chosen
Outtatown is a hip-hop music producer known for his work on Playboi Carti’s album "Whole Lotta Red."
-
B.
Happy Town
Happy Town is an American mystery drama television series that follows a small town plagued by abductions and dark secrets.
-
C.
Howtown
Howtown is a small, picturesque hamlet in England’s Lake District, situated on the eastern shore of Ullswater and known as a starting point for lakeside walks and fell hikes.
-
D.
South Town
South Town is a fictional, crime-ridden American metropolis that serves as the primary backdrop for SNK’s Fatal Fury and related fighting game series.
-
E.
B-Town
B-Town is a common nickname for Bloomington, Indiana, a vibrant Midwestern college city best known as the home of Indiana University.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eadc35881909fb0cc405a0e2fae |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d36aa90819090b738c1c94dcb9f |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:19 a.m.