Triple
T32493520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Parker and Clyde Barrow |
E830453
|
entity |
| Predicate | startOfCriminalPartnership |
P196174
|
FINISHED |
| Object | 1930 |
—
|
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: 1930 | Statement: [Bonnie Parker and Clyde Barrow, startOfCriminalPartnership, 1930]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfCriminalPartnership Context triple: [Bonnie Parker and Clyde Barrow, startOfCriminalPartnership, 1930]
-
A.
partnerInCrime
Indicates a relationship where two or more entities collaborate closely in committing or planning wrongful, illicit, or mischievous acts together.
-
B.
startOfPartnershipWith
chosen
Indicates the point in time or event at which a partnership or collaborative relationship between two entities begins.
-
C.
startDateOfCriminalEvents
Indicates the date on which the referenced criminal events began or were first initiated.
-
D.
numberOfCoPerpetrators
Indicates the quantity of additional perpetrators who jointly participated in committing the same act or offense.
-
E.
partnerInActWith
Indicates that two or more entities jointly participate as partners in carrying out the same act or action.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: May 1, 2026, 12:59 a.m.