Triple
T8154457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy |
E190410
|
entity |
| Predicate | isOftenPlacedOn |
P33560
|
FINISHED |
| Object | Mr. Bean’s bed |
—
|
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: Mr. Bean’s bed | Statement: [Teddy, isOftenPlacedOn, Mr. Bean’s bed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenPlacedOn Context triple: [Teddy, isOftenPlacedOn, Mr. Bean’s bed]
-
A.
seatOftenLocatedIn
Indicates that one type of seat is commonly or typically found within a particular location or setting.
-
B.
commonlyFoundOn
chosen
Indicates that one entity is typically or frequently located on, attached to, or present upon another entity.
-
C.
widelyUsedIn
Indicates that something is commonly or extensively utilized within a particular context, domain, or group.
-
D.
isOftenPurchasedAs
Indicates that one item is frequently bought together with, or in conjunction with, another item.
-
E.
hasPlaceIn
Indicates that one entity occupies, is located within, or holds a specific position in another entity or context.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d566b08190a6bb672f9c368806 |
completed | March 31, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.