Triple
T5476331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Eastman Museum |
E122962
|
entity |
| Predicate | occupiesSince |
P63983
|
FINISHED |
| Object | 1949 |
—
|
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: 1949 | Statement: [George Eastman Museum, occupiesSince, 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupiesSince Context triple: [George Eastman Museum, occupiesSince, 1949]
-
A.
currentRepresentativeSince
Indicates the date or time from which an entity has been serving as the current representative of another entity.
-
B.
governingSince
Indicates that one entity has held a governing or ruling role over another entity starting from a specified point in time.
-
C.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
D.
firstOccupiedBy
Indicates which entity was the initial or earliest known occupant of a given place, position, or resource.
-
E.
presidentSince
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd923639bc81909a83dd4fcaa8c636 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd9214b8488190979112c7615f359a |
completed | March 20, 2026, 6:29 p.m. |
Created at: March 20, 2026, 2:09 p.m.