Triple
T36136039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry’s apartment building |
E1045168
|
entity |
| Predicate | floorOfNewmanApartment |
P185039
|
FINISHED |
| Object | same building as Jerry and Kramer |
—
|
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: same building as Jerry and Kramer | Statement: [Jerry’s apartment building, floorOfNewmanApartment, same building as Jerry and Kramer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorOfNewmanApartment Context triple: [Jerry’s apartment building, floorOfNewmanApartment, same building as Jerry and Kramer]
-
A.
floorOfKramerApartment
Indicates the specific floor on which Kramer’s apartment is located.
-
B.
floorOfJerryApartment
Indicates the specific floor on which Jerry's apartment is located.
-
C.
bottomFloorNumber
Indicates the floor number that is considered the lowest or bottom level within a building or structure.
-
D.
tenantUnit
Indicates that a tenant occupies, leases, or is associated with a specific housing or rental unit.
-
E.
floorCount
Indicates the number of floors or levels that a building or structure has.
- F. None of above. chosen
Provenance (4 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:08 p.m.