Triple
T11063758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordechai Vanunu |
E261569
|
entity |
| Predicate | methodOfAbduction |
P23389
|
FINISHED |
| Object | lured to Rome and kidnapped |
—
|
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: lured to Rome and kidnapped | Statement: [Mordechai Vanunu, methodOfAbduction, lured to Rome and kidnapped]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfAbduction Context triple: [Mordechai Vanunu, methodOfAbduction, lured to Rome and kidnapped]
-
A.
abductionMotif
chosen
Indicates a relationship where an event, narrative, or depiction involves the motif of one entity abducting or forcibly carrying off another.
-
B.
methodOfDisappearance
Indicates the specific way or process by which an entity ceases to be present, visible, or existent.
-
C.
discoveryMethod
Indicates the process, technique, or approach by which something was found, detected, or identified.
-
D.
functionHypothesis
Indicates that an entity is proposed or assumed to serve as a function or functional explanation for another entity or phenomenon.
-
E.
usesInvestigativeMethods
Indicates that an entity employs investigative techniques or procedures to gather information, analyze evidence, or uncover facts.
- 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.