Triple
T19387821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayes |
E484980
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Hay |
—
|
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: Hay | Statement: [Hayes, hasVariant, Hay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hay Context triple: [Hayes, hasVariant, Hay]
-
A.
Hay
chosen
Hay is a rural service town in the Riverina region of southwestern New South Wales, Australia, known for its agricultural production and historic role as a transport and wool-growing center.
-
B.
Hay
Hay is a contemporary Danish design company known for its minimalist, functional furniture and home accessories that blend modern aesthetics with everyday usability.
-
C.
Hay
"Hay" is a 1998 poetry collection by Irish poet Paul Muldoon, noted for its inventive language, intricate forms, and characteristic blend of wit and erudition.
-
D.
Haynt
Haynt was a Yiddish-language newspaper that served as an important platform for Jewish journalism and literature in early 20th-century Eastern Europe.
-
E.
Ha
"Ha" is a track by rapper Juvenile, notable for its distinctive second-person narrative style and repetitive use of the word "ha," from his influential 1998 album *400 Degreez*.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b418f148190972b7b46038bc744 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.