Triple
T25719376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smuttynose Island |
E644945
|
entity |
| Predicate | hasNotableCrime |
P18677
|
FINISHED |
| Object | double murder of Norwegian immigrant women in 1873 |
—
|
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: double murder of Norwegian immigrant women in 1873 | Statement: [Smuttynose Island, hasNotableCrime, double murder of Norwegian immigrant women in 1873]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCrime Context triple: [Smuttynose Island, hasNotableCrime, double murder of Norwegian immigrant women in 1873]
-
A.
hasNotableIncident
chosen
Indicates that an entity is associated with a significant or noteworthy event, occurrence, or incident.
-
B.
hasCrimeElement
Indicates that a situation, action, or entity involves or contains a component that is legally recognized as part of a crime.
-
C.
hasCriminalCharacter
Indicates that an entity possesses traits, behaviors, or a reputation associated with criminal activity or unlawful conduct.
-
D.
hasNotableCredit
Indicates that an entity is recognized for having a significant or noteworthy contribution, role, or acknowledgment associated with it.
-
E.
hasNotableReputation
Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 21, 2026, 9:53 p.m.