Triple
T11181383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Eyre Coote |
E264546
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Eyre |
E93564
|
NE FINISHED |
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: Eyre | Statement: [Sir Eyre Coote, givenName, Eyre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eyre Context triple: [Sir Eyre Coote, givenName, Eyre]
-
A.
Eyre
chosen
Eyre is an English surname historically associated with notable figures such as explorer and colonial administrator Edward John Eyre.
-
B.
Elcho
Elcho is a locality in Western Australia that was formerly known as Belmar.
-
C.
Eyre Peninsula
Eyre Peninsula is a large, triangular coastal region in South Australia known for its rugged coastline, fishing and seafood industries, and popular ecotourism and outdoor recreation opportunities.
-
D.
Tooronga
Tooronga is a suburb in Melbourne, Victoria, Australia, known for its residential character and proximity to major shopping and transport hubs.
-
E.
Tassie
Tassie is a fictional character from Enid Blyton’s children’s adventure novel "The Circus of Adventure," known for being part of the circus-themed exploits in the Adventure series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a7f35481909f35feb94ef10e80 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483affa988190bb7dc4f74d8e878c |
completed | April 19, 2026, 7:26 a.m. |
Created at: April 8, 2026, 9:29 p.m.