Triple
T3120393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illadelph Halflife |
E65169
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kelo |
E330126
|
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: Kelo | Statement: [Illadelph Halflife, producer, Kelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelo Context triple: [Illadelph Halflife, producer, Kelo]
-
A.
Kelo
chosen
Kelo is a hip-hop music producer known for his work on The Roots’ influential album "Do You Want More?!!!??!".
-
B.
Kleinburg
Kleinburg is a historic, affluent village within the city of Vaughan, Ontario, known for its charming main street and the McMichael Canadian Art Collection.
-
C.
Kahn
Kahn is a surname most famously associated with Louis Kahn, the influential 20th-century architect known for his monumental and timeless modernist buildings.
-
D.
The Forest City
The Forest City is a nickname for Cleveland, Ohio, reflecting its historic abundance of trees and emphasis on green, park-filled urban planning.
-
E.
Lovell
Lovell is an English surname most prominently associated with Sir Bernard Lovell, a pioneering radio astronomer and founder of the Jodrell Bank Observatory.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4eb6a6081909df41f67999eb4ff |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224cf54088190a069b4eef0a5f7d2 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.