Triple
T14350525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sour Soul |
E355838
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Katalyst |
E594372
|
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: Katalyst | Statement: [Sour Soul, producer, Katalyst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katalyst Context triple: [Sour Soul, producer, Katalyst]
-
A.
The Katalyst
chosen
The Katalyst is a music producer known for crafting hip-hop and electronic-influenced beats.
-
B.
The Catalyst
The Catalyst is a prominent innovation and business hub building at the University of York’s Heslington East campus, designed to support startups, enterprise, and collaborative research.
-
C.
Kaos
Kaos is a collaborative hip-hop album by Roc Marciano and DJ Muggs known for its gritty production and intricate lyricism.
-
D.
Kaos
Kaos is the primary villain in the Skylanders video game series, a power-hungry Portal Master who repeatedly schemes to conquer Skylands.
-
E.
The Spark
The Spark is a section within Chinua Achebe’s novel "Things Fall Apart" that marks a pivotal turning point in the story’s conflict and the protagonist’s fate.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4335e481909d4db39b8d25edc9 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:14 a.m.