Triple
T16698838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brave Miss World |
E405787
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Haim Shiran
Haim Shiran is a cinematographer best known for his work on the documentary film "Brave Miss World."
|
E1229312
|
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: Haim Shiran | Statement: [Brave Miss World, cinematographyBy, Haim Shiran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haim Shiran Context triple: [Brave Miss World, cinematographyBy, Haim Shiran]
-
A.
Haim Oron
Haim Oron is an Israeli politician and peace activist who led the left-wing Meretz party and served for many years as a member of the Knesset.
-
B.
Assaf Ramon
Assaf Ramon was an Israeli Air Force fighter pilot and the son of astronaut Ilan Ramon, who died in a training accident in 2009.
-
C.
Ilan Eshkeri
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
-
D.
Alon Shvut
Alon Shvut is an Israeli settlement in the West Bank known for its religious Zionist community and proximity to Jerusalem.
-
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. 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: Haim Shiran Triple: [Brave Miss World, cinematographyBy, Haim Shiran]
Generated description
Haim Shiran is a cinematographer best known for his work on the documentary film "Brave Miss World."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haim Shiran Target entity description: Haim Shiran is a cinematographer best known for his work on the documentary film "Brave Miss World."
-
A.
Haim Oron
Haim Oron is an Israeli politician and peace activist who led the left-wing Meretz party and served for many years as a member of the Knesset.
-
B.
Assaf Ramon
Assaf Ramon was an Israeli Air Force fighter pilot and the son of astronaut Ilan Ramon, who died in a training accident in 2009.
-
C.
Ilan Eshkeri
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
-
D.
Alon Shvut
Alon Shvut is an Israeli settlement in the West Bank known for its religious Zionist community and proximity to Jerusalem.
-
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. 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832f550c8190bf7514d4611dec6a |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919ee61c81909928dd26270e9614 |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00925fda608190b3674bd5e9ca6bf5 |
completed | May 10, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00939075d88190a63cdd942eb3fea8 |
completed | May 10, 2026, 2:17 p.m. |
Created at: April 10, 2026, 5:19 a.m.