Triple
T26859209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artie Strauss |
E676279
|
entity |
| Predicate | intellectualInterest |
P150633
|
FINISHED |
| Object | crime as an intellectual exercise |
—
|
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: crime as an intellectual exercise | Statement: [Artie Strauss, intellectualInterest, crime as an intellectual exercise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intellectualInterest Context triple: [Artie Strauss, intellectualInterest, crime as an intellectual exercise]
-
A.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
B.
hasIntellectualFocus
chosen
Indicates that an entity’s primary attention, study, or mental effort is directed toward a particular subject, topic, or area of interest.
-
C.
intellectualTrend
Indicates a relationship where an idea, movement, or way of thinking is recognized as an intellectual trend influencing thought or discourse.
-
D.
hasPhilosophicalInterestIn
Indicates that one entity holds a philosophical curiosity, concern, or engagement regarding another entity.
-
E.
primaryInterest
Indicates that one entity is the main or most significant focus of attention, concern, or engagement for another entity.
- 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_69eee9b9d7708190a15d7485709ae981 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f621cbc48881908d104c648c91c715 |
completed | May 2, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 5:23 a.m.