Triple
T1293302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella Stewart Gardner Museum |
E27595
|
entity |
| Predicate | theftStatus |
P28343
|
FINISHED |
| Object | unsolved |
—
|
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: unsolved | Statement: [Isabella Stewart Gardner Museum, theftStatus, unsolved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theftStatus Context triple: [Isabella Stewart Gardner Museum, theftStatus, unsolved]
-
A.
confiscatedBy
Indicates that something has been taken away and seized by an authority or agent, typically as a legal or disciplinary action.
-
B.
criminalStatus
Indicates the legal condition of an entity with respect to criminal law, such as whether they are accused, convicted, or cleared of a crime.
-
C.
mysteryStatus
Indicates that an entity’s current state or condition is unknown, hidden, or intentionally left unexplained.
-
D.
acquisitionStatus
Indicates the current state or outcome of an acquisition process between entities (e.g., pending, completed, failed, or canceled).
-
E.
securityStatus
Indicates the current level or condition of protection, risk, or vulnerability associated with an entity or system.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c3b9ebdc819098de4d3288201bc1 |
completed | March 1, 2026, 10:54 p.m. |
Created at: March 1, 2026, 7:51 p.m.