Triple
T12421355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard H. Garrett |
E296778
|
entity |
| Predicate | barnOnPropertyUsedFor |
P92145
|
FINISHED |
| Object | final standoff of John Wilkes Booth |
—
|
LITERAL 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: final standoff of John Wilkes Booth | Statement: [Richard H. Garrett, barnOnPropertyUsedFor, final standoff of John Wilkes Booth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barnOnPropertyUsedFor Context triple: [Richard H. Garrett, barnOnPropertyUsedFor, final standoff of John Wilkes Booth]
-
A.
hasStabling
Indicates that one entity provides or contains stabling facilities (such as stalls or accommodation) for another, typically for animals like horses.
-
B.
usedByHouse
Indicates that something is utilized or employed by a particular house.
-
C.
hasPaddock
Indicates that one entity possesses or is associated with a specific paddock area or enclosure.
-
D.
livestockUse
chosen
Indicates how an entity is used or managed in relation to livestock, such as for raising, feeding, housing, or supporting livestock activities.
-
E.
hasRanch
Indicates that one entity owns, operates, or is associated with a ranch.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.