Triple
T12197096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germaine Greer |
E290615
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Greer |
E299630
|
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: Greer | Statement: [Germaine Greer, familyName, Greer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greer Context triple: [Germaine Greer, familyName, Greer]
-
A.
Greer
Greer is a small city in South Carolina known for its historic downtown, proximity to both Greenville and Spartanburg, and its role as a regional industrial and transportation hub.
-
B.
Greer
chosen
Greer is a surname most notably associated with Hal Greer, a Hall of Fame American basketball player.
-
C.
Graydon
Graydon is a surname of English and Irish origin borne by various notable individuals, including those in politics, sports, and the arts.
-
D.
Lurgee
"Lurgee" is a song by the English rock band Radiohead, featured on their 1993 debut album *Pablo Honey*.
-
E.
Farlington
Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c56b4d88190b6a32baff3375dc4 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5289608190bded58513316b1e5 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:50 p.m.