Triple
T13603344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skin (2018 film) |
E324996
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Yuval Orr
Yuval Orr is a film editor known for his work on the 2018 movie "Skin."
|
E1050062
|
NE FINISHED |
How this triple was built (4 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: Yuval Orr | Statement: [Skin (2018 film), editedBy, Yuval Orr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuval Orr Context triple: [Skin (2018 film), editedBy, Yuval Orr]
-
A.
Oren Aviv
Oren Aviv is an American film executive and producer known for his work on major Hollywood projects, including contributing to the story for the action-adventure film "National Treasure."
-
B.
Oded Kotler
Oded Kotler is an Israeli actor and theater director known for his prominent roles in film and stage as well as his influential work in Israeli performing arts.
-
C.
Amir Yaron
Amir Yaron is an Israeli-American economist who serves as the Governor of the Bank of Israel, overseeing the country’s monetary policy and financial stability.
-
D.
Amnon Niv
Amnon Niv is an Israeli architect best known for designing prominent high-rise buildings, including some of the country's most recognizable skyscrapers.
-
E.
Yaron Orbach
Yaron Orbach is a cinematographer known for his work on feature films and television, including the drama "Brain on Fire."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yuval Orr Triple: [Skin (2018 film), editedBy, Yuval Orr]
Generated description
Yuval Orr is a film editor known for his work on the 2018 movie "Skin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuval Orr Target entity description: Yuval Orr is a film editor known for his work on the 2018 movie "Skin."
-
A.
Oren Aviv
Oren Aviv is an American film executive and producer known for his work on major Hollywood projects, including contributing to the story for the action-adventure film "National Treasure."
-
B.
Oded Kotler
Oded Kotler is an Israeli actor and theater director known for his prominent roles in film and stage as well as his influential work in Israeli performing arts.
-
C.
Amir Yaron
Amir Yaron is an Israeli-American economist who serves as the Governor of the Bank of Israel, overseeing the country’s monetary policy and financial stability.
-
D.
Amnon Niv
Amnon Niv is an Israeli architect best known for designing prominent high-rise buildings, including some of the country's most recognizable skyscrapers.
-
E.
Yaron Orbach
Yaron Orbach is a cinematographer known for his work on feature films and television, including the drama "Brain on Fire."
- F. None of above. chosen
Provenance (5 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f93ec588190993baec788d22670 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f780bc40f481908191fec9a563e547 |
completed | May 3, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7817b8c408190b7211ba8fd892f75 |
completed | May 3, 2026, 5:10 p.m. |
Created at: April 9, 2026, 9:49 p.m.