Triple
T23261780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birdman |
E582034
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | KLC |
—
|
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: KLC | Statement: [Birdman, producer, KLC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KLC Context triple: [Birdman, producer, KLC]
-
A.
KLC
KLC is the ICAO airline designator used for KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
-
B.
KLC
chosen
KLC is an American hip-hop producer best known for his work with Master P’s No Limit Records and his influential Southern rap sound.
-
C.
KLC
KLC is the commonly used abbreviation for the Karnataka Legislative Council, the upper house of the bicameral legislature of the Indian state of Karnataka.
-
D.
KLCQ
KLCQ is the ICAO airport code for Suwannee County Airport, a public-use airfield serving the Live Oak area in Suwannee County, Florida.
-
E.
KLS
KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9f33c819082ef6b380fc594dd |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.