Triple
T17306703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lior Raz |
E420182
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lior Raz |
E420182
|
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: Lior Raz | Statement: [Lior Raz, name, Lior Raz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lior Raz Context triple: [Lior Raz, name, Lior Raz]
-
A.
Lior Raz
chosen
Lior Raz is an Israeli actor and screenwriter best known as the co-creator and star of the hit television series "Fauda."
-
B.
Yair Tzaban
Yair Tzaban is an Israeli politician and social activist known for his leadership in the left-wing Mapam party and his advocacy for peace, civil rights, and social justice.
-
C.
Amiel Ben-Horin
Amiel Ben-Horin is a central character in the Israeli television drama "Prisoners of War" (Hatufim), which inspired the American series "Homeland."
-
D.
Uriel Feige
Uriel Feige is an Israeli computer scientist known for his influential work in computational complexity theory, approximation algorithms, and probabilistically checkable proofs.
-
E.
Avi Nesher
Avi Nesher is an acclaimed Israeli film director, screenwriter, and producer known for influential works in both Israeli and international cinema.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4390005dc81908345ebb6dd970582 |
completed | April 19, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e0c1b881908aa2b6b4d8ac04b6 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.