Triple
T37751333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circleville, Utah |
E940989
|
entity |
| Predicate | isBoyhoodHomeOf |
P101119
|
FINISHED |
| Object | Butch Cassidy |
—
|
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: Butch Cassidy | Statement: [Circleville, Utah, isBoyhoodHomeOf, Butch Cassidy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBoyhoodHomeOf Context triple: [Circleville, Utah, isBoyhoodHomeOf, Butch Cassidy]
-
A.
hasBoyhoodHomeOf
chosen
Indicates that a particular place served as the home where a male person lived during his childhood.
-
B.
isNamesakeHomeOf
Indicates that a place serves as the home or primary location associated with the person, entity, or concept for which it is named.
-
C.
hasHometownOf
Indicates that one entity has, as its hometown, the place represented by the other entity.
-
D.
hometownOfHonoree
Indicates that a specified place is the hometown (place of origin or long-term residence) of the honoree.
-
E.
residencyOf
Indicates that one entity serves as the place where another entity resides or lives.
- F. None of above.
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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.