Triple
T13334117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travis Younger |
E317644
|
entity |
| Predicate | sleepingArrangement |
P17054
|
FINISHED |
| Object | sleeps on the living room sofa |
—
|
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: sleeps on the living room sofa | Statement: [Travis Younger, sleepingArrangement, sleeps on the living room sofa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sleepingArrangement Context triple: [Travis Younger, sleepingArrangement, sleeps on the living room sofa]
-
A.
beds
chosen
Indicates that one entity provides or designates a place for another entity to sleep or rest.
-
B.
hasBedType
Indicates that an entity (such as a room or accommodation) is associated with a specific type or configuration of bed.
-
C.
sharesBedWith
Indicates that two entities sleep in the same bed.
-
D.
bedBehavior
Indicates how an entity typically acts, functions, or is used in relation to a bed.
-
E.
bedCount
Indicates the number of beds associated with an entity, such as a room, facility, or accommodation.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.