Triple
T20390275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3 Days to Kill |
E498065
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Adi Hasak |
—
|
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: Adi Hasak | Statement: [3 Days to Kill, screenwriter, Adi Hasak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adi Hasak Context triple: [3 Days to Kill, screenwriter, Adi Hasak]
-
A.
Adi Hasak
chosen
Adi Hasak is a screenwriter and producer known for creating crime dramas for television and film, including the series "Shades of Blue."
-
B.
Adam Haggiag
Adam Haggiag is a film producer best known for his work on the acclaimed documentary "Bombshell: The Hedy Lamarr Story."
-
C.
Moti Safra
Moti Safra is a theoretical computer scientist recognized for his influential contributions to complexity theory and automata, honored with the prestigious EATCS Award.
-
D.
Haim Hazaz
Haim Hazaz was a prominent Israeli Hebrew-language novelist and short story writer known for his modernist style and exploration of Jewish history, identity, and life in the early years of the State of Israel.
-
E.
Ori Marmur
Ori Marmur is a film producer known for his work on the science fiction thriller "Passengers."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.