Triple
T18318955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Appleby |
E438819
|
entity |
| Predicate | trained |
P3665
|
FINISHED |
| Object | Masar |
—
|
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: Masar | Statement: [Charlie Appleby, trained, Masar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masar Context triple: [Charlie Appleby, trained, Masar]
-
A.
Masar
chosen
Masar is a British Thoroughbred racehorse best known for winning the 2018 Epsom Derby for Godolphin.
-
B.
Masara
Masara is an alternate name for the Masalit language, a Nilo-Saharan language spoken primarily by the Masalit people in western Sudan and eastern Chad.
-
C.
Masarra
Masarra is a passenger station on Cairo Metro’s Line 2 serving commuters in the Cairo metropolitan area.
-
D.
Maasara
Maasara is an industrial and residential district in the Greater Cairo area of Egypt, known for its factories and proximity to the Nile.
-
E.
Masass
Masass was a leader associated with the Northwest Indian Confederacy, a coalition of Native American tribes that resisted U.S. expansion in the late 18th and early 19th centuries.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.