Triple
T22723863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papoose |
E561939
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mackie |
—
|
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: Mackie | Statement: [Papoose, familyName, Mackie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mackie Context triple: [Papoose, familyName, Mackie]
-
A.
Mackie
Mackie is the surname of American rapper Remy Ma, known for her influential role in East Coast hip hop and appearances on reality television.
-
B.
Mackie
Mackie is a British actress best known for playing Bill Potts, a companion of the Doctor, in the long-running television series Doctor Who.
-
C.
Mackie
chosen
Mackie is a surname most notably associated with J. L. Mackie, an influential 20th-century Australian philosopher known for his work in meta-ethics and the problem of evil.
-
D.
Mackie Academy
Mackie Academy is a secondary school serving the town of Stonehaven and the surrounding area in Aberdeenshire, Scotland.
-
E.
Behringer
Behringer is a German surname borne by various notable individuals, including professional footballer Melanie Behringer.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17927e0348190a4dba430563ef155 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.