Triple
T22577882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statik Selektah |
E544463
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Termanology |
—
|
NE NERFINISHED |
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: Termanology | Statement: [Statik Selektah, hasCollaboratedWith, Termanology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Termanology Context triple: [Statik Selektah, hasCollaboratedWith, Termanology]
-
A.
Termanology
chosen
Termanology is an American rapper and songwriter from Massachusetts known for his intricate lyricism and collaborations with prominent East Coast hip-hop producers and artists.
-
B.
Termen
Termen is a small Swiss municipality in the canton of Valais, known for its alpine setting above the Rhône valley and proximity to the ski area of Rosswald.
-
C.
Glossaryck
Glossaryck is a mysterious, blue, genie-like being who serves as the magical guide and mentor tied to the royal spellbook in the animated series "Star vs. the Forces of Evil."
-
D.
Termien
Termien is a district of the Belgian city of Genk, located in the province of Limburg.
-
E.
Lexicon
Lexicon is a studio album by British singer Will Young that marked his return to music with a polished pop sound and introspective themes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15feee27c8190b31c923e1f00a363 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.