Triple
T19459032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mackay Hugh Baillie Scott |
E486816
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mackay |
—
|
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: Mackay | Statement: [Mackay Hugh Baillie Scott, givenName, Mackay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mackay Context triple: [Mackay Hugh Baillie Scott, givenName, Mackay]
-
A.
Mackay
Mackay is a coastal city in eastern Australia known for its sugar cane industry and proximity to the Great Barrier Reef.
-
B.
Mackay
chosen
Mackay is the given name of M. H. Baillie Scott, a prominent British architect and designer associated with the Arts and Crafts movement.
-
C.
Mackay
Mackay was an archaeologist known for his excavations of Indus Valley Civilization sites, including Chanhudaro.
-
D.
Mackay
Mackay is a Scottish surname of Gaelic origin, borne by various notable figures in sports, politics, and the arts.
-
E.
Mackay, Queensland
Mackay, Queensland is a coastal city in northeastern Australia renowned for its extensive sugarcane industry and role as a key regional service and industrial hub.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c6c55c8190965ada884f17c800 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.