Triple
T9160792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Eitan |
E219814
|
entity |
| Predicate | founderOf |
P104
|
FINISHED |
| Object | Tzomet |
E782623
|
NE 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: Tzomet | Statement: [Rafael Eitan, founderOf, Tzomet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tzomet Context triple: [Rafael Eitan, founderOf, Tzomet]
-
A.
Tzomet
chosen
Tzomet was a right-wing nationalist political party in Israel founded and led by former general Rafael Eitan, known for its hardline security stance and secular outlook.
-
B.
Zeruah
Zeruah is a woman mentioned in the Hebrew Bible as the mother of Jeroboam I, the first king of the northern kingdom of Israel.
-
C.
Tevot
Tevot is a large-scale orchestral work by contemporary British composer Thomas Adès, noted for its dense textures, complex rhythms, and cosmic, journey-like structure.
-
D.
Dahan
Dahan is a critically acclaimed Bengali film directed by Rituparno Ghosh that explores themes of gender, social hypocrisy, and moral courage.
-
E.
Safra
Safra is the given name of Safra Catz, the Israeli-American business executive and longtime leader at Oracle Corporation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ac0508190b2f5c801c2c26d66 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c00daa48190ad68c88479478129 |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:21 p.m.