Triple
T14853826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shades of Blue |
E349298
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Adi Hasak |
E1124063
|
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: Adi Hasak | Statement: [Shades of Blue, executiveProducer, Adi Hasak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adi Hasak Context triple: [Shades of Blue, executiveProducer, 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.
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.
-
C.
Ori Marmur
Ori Marmur is a film producer known for his work on the science fiction thriller "Passengers."
-
D.
Gil Tene
Gil Tene is a software engineer and entrepreneur best known as the co-founder and CTO of Azul Systems and for his work on Java performance and low-latency garbage collection.
-
E.
Shimon Baadani
Shimon Baadani was a prominent Sephardic Haredi rabbi and leading halachic authority in Israel, known for his influential role in guiding the Shas movement and its followers.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b4ce76881909bf4a967da9357ae |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:54 a.m.