Triple
T16003500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chase & Status |
E388151
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Sub Focus |
E889736
|
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: Sub Focus | Statement: [Chase & Status, associatedAct, Sub Focus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sub Focus Context triple: [Chase & Status, associatedAct, Sub Focus]
-
A.
Sub Focus
chosen
Sub Focus is a British electronic music producer and DJ known for his influential drum and bass and EDM tracks, as well as high-energy live performances.
-
B.
Fokus
Fokus is the Norwegian Intelligence Service’s publicly released annual assessment report on global security and threat developments.
-
C.
“Focus” (song)
“Focus” is a soulful R&B song by H.E.R. that showcases her smooth vocals and introspective lyrics about emotional neglect in a relationship.
-
D.
In Focus
In Focus is a political commentary and news analysis program that airs on the conservative cable channel One America News Network.
-
E.
Focus...
Focus... is a production company known for creating the documentary titled "The Documentary."
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fd753c819099707109e35540e1 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3dba8e08190b6b26ac9a6854e50 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.