Triple
T32498252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MD4 |
E830583
|
entity |
| Predicate | firstMajorCryptanalysisYear |
P32643
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [MD4, firstMajorCryptanalysisYear, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorCryptanalysisYear Context triple: [MD4, firstMajorCryptanalysisYear, 1996]
-
A.
firstMadoffAnalysisYear
Indicates the calendar year in which the first analysis or investigation related to the Madoff case occurred.
-
B.
firstHalvingYear
Indicates the calendar year in which the first halving event associated with an entity (such as a cryptocurrency’s block reward) occurs.
-
C.
firstKnownAttackDate
Indicates the date on which an entity’s earliest known attack or offensive action occurred.
-
D.
deciphermentYear
chosen
Indicates the year in which something (typically a script, code, or inscription) was successfully deciphered or interpreted.
-
E.
firstMajorUseYear
Indicates the calendar year in which something was first put into major or primary use.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:59 a.m.