Triple
T17383764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aman |
E422634
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | אגף המודיעין |
—
|
NE NERFINISHED |
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: אגף המודיעין | Statement: [Aman, nativeName, אגף המודיעין]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: אגף המודיעין Context triple: [Aman, nativeName, אגף המודיעין]
-
A.
אגף המודיעין
chosen
אגף המודיעין הוא חיל המודיעין של צה"ל, האחראי על איסוף, ניתוח והערכה מודיעינית לצורך ביטחון מדינת ישראל.
-
B.
The Spy
"The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
-
C.
The Spy
The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
-
D.
Mukhabarat
Mukhabarat is the former Iraqi intelligence and secret police agency that operated under Saddam Hussein’s regime, known for its extensive surveillance and repression.
-
E.
I Was a Spy
I Was a Spy is a 1933 British war drama film about a Belgian woman who becomes a spy during World War I.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a87d9948190986021f1fb5a4e00 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.