Triple
T14203143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clover Moore |
E352013
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clover |
E352013
|
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: Clover | Statement: [Clover Moore, givenName, Clover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clover Context triple: [Clover Moore, givenName, Clover]
-
A.
Clover
Clover is a Fiserv-owned point-of-sale and payment processing platform widely used by small and medium-sized businesses for in-store and online transactions.
-
B.
Clover
chosen
Clover is a feminine given name most prominently associated with Australian politician and long-serving Lord Mayor of Sydney, Clover Moore.
-
C.
Bramble
Bramble is a modern classic gin-based cocktail typically made with lemon juice, sugar syrup, and blackberry liqueur, served over crushed ice.
-
D.
Bracken
Bracken is a surname of Scottish and Irish origin borne by various notable individuals, including poet and politician Thomas Bracken.
-
E.
Bracken
Bracken is an Irish television drama series that helped establish actor Gabriel Byrne’s early career.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f589a08190b71ad4e69d92ffd0 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1951421c81908959634e66857b61 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.