Triple
T18418027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Kiyoshi Hirabayashi |
E441946
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gordon |
E595833
|
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: Gordon | Statement: [Gordon Kiyoshi Hirabayashi, givenName, Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gordon Context triple: [Gordon Kiyoshi Hirabayashi, givenName, Gordon]
-
A.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
-
B.
Gordon
Gordon is a small village in the Scottish Borders region of southeastern Scotland, historically part of Berwickshire.
-
C.
Gordon
chosen
Gordon is a masculine given name of English origin, often associated with notable figures in politics, entertainment, and sports.
-
D.
Gordon
Gordon is a residential suburb located within the Brindabella region of the Australian Capital Territory.
-
E.
Gordon
Gordon is an animated character best known for being voiced by actor John Ratzenberger.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a291f148190b289b5b617077797 |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f0a633448190880b67ffe4f4e55b |
completed | May 13, 2026, 3:31 a.m. |
Created at: April 10, 2026, 10:47 a.m.