Triple
T11063753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordechai Vanunu |
E261569
|
entity |
| Predicate | topicOfDisclosure |
P87244
|
FINISHED |
| Object | Israel's secret nuclear weapons program |
—
|
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: Israel's secret nuclear weapons program | Statement: [Mordechai Vanunu, topicOfDisclosure, Israel's secret nuclear weapons program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topicOfDisclosure Context triple: [Mordechai Vanunu, topicOfDisclosure, Israel's secret nuclear weapons program]
-
A.
discloses
Indicates that one entity reveals, makes known, or provides previously non-public information to another entity or to the public.
-
B.
disclosureLevel
Indicates the extent or degree to which information is revealed, shared, or made accessible in a given context.
-
C.
topicOfReports
chosen
Indicates that something serves as the main subject or focus of one or more reports.
-
D.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
E.
treatmentDisclosure
Indicates that information about a treatment (such as its nature, risks, benefits, or alternatives) is revealed or communicated to another party.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798ed07f88190bf501d9f63386ada |
completed | April 9, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.