Triple
T3137450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willie Mays |
E65567
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Willie |
E108645
|
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: Willie | Statement: [Willie Mays, givenName, Willie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willie Context triple: [Willie Mays, givenName, Willie]
-
A.
Willie
Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
-
B.
Slick Willie
Slick Willie is the notorious nickname of American bank robber Willie Sutton, famed for his prolific Depression-era heists and clever escapes.
-
C.
Jimmie Gumm
Jimmie Gumm is a member of the Gumm family, known primarily as a sibling of Mary Jane Gumm, part of the family connected to entertainer Judy Garland.
-
D.
Willie the Wildcat
Willie the Wildcat is the costumed wildcat mascot who represents Northwestern University's athletic teams and school spirit.
-
E.
Willi
chosen
Willi is a given name, typically a variant of Willy or William, used in various European countries.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada574509c81908a88bb10ea35516d |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f8a1a2081909081c36075d4ddbe |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:05 p.m.