Triple
T20628587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivo |
E506886
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Ivor |
—
|
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: Ivor | Statement: [Ivo, relatedName, Ivor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivor Context triple: [Ivo, relatedName, Ivor]
-
A.
Ivor
chosen
Ivor is a masculine given name of Welsh origin, notably borne by the composer and actor Ivor Novello.
-
B.
Ivor Emmanuel
Ivor Emmanuel was a Welsh singer and actor best known for his powerful baritone voice and his role leading the song "Men of Harlech" in the film Zulu.
-
C.
Sir Ivor
Sir Ivor was a champion American-bred, Irish-trained Thoroughbred racehorse and influential sire best known for winning the 1968 Epsom Derby.
-
D.
Ivor Lombard
Ivor Lombard is a fictional character from Aldous Huxley’s satirical novel "Crome Yellow," representing one of the eccentric figures in its country-house social circle.
-
E.
Ivor Cutler
Ivor Cutler was a Scottish poet, songwriter, and eccentric performer known for his surreal, deadpan humor and distinctive harmonium-accompanied spoken-word pieces.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe771e88190a48471bf83b4804d |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.