Triple
T11842490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali (2001 film) |
E281687
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Paul Arad
Paul Arad is a film producer known for his work on the 2001 movie "Ali."
|
E949187
|
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: Paul Arad | Statement: [Ali (2001 film), producer, Paul Arad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Arad Context triple: [Ali (2001 film), producer, Paul Arad]
-
A.
Gil Segev
Gil Segev is a computer scientist and cryptographer known for his research in theoretical cryptography and information security.
-
B.
Shlomo Ganzfried
Shlomo Ganzfried was a 19th-century Hungarian rabbi and halachic authority best known for composing the widely used concise code of Jewish law, the Kitzur Shulchan Aruch.
-
C.
Raviv Tadmor
Raviv Tadmor is a scientist known for his research in soft matter and interfacial phenomena, and for being a notable student of polymer physicist Jacob Klein.
-
D.
Aharon Katzir
Aharon Katzir was an Israeli biophysicist and pioneering researcher in the electrochemistry of biopolymers who became one of Israel’s most prominent scientists before his assassination in 1972.
-
E.
Yoram Aridor
Yoram Aridor is an Israeli politician and lawyer best known for serving as Israel’s Minister of Finance in the early 1980s, during a period of significant economic turbulence and controversial fiscal policies.
- 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: Paul Arad Triple: [Ali (2001 film), producer, Paul Arad]
Generated description
Paul Arad is a film producer known for his work on the 2001 movie "Ali."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Arad Target entity description: Paul Arad is a film producer known for his work on the 2001 movie "Ali."
-
A.
Gil Segev
Gil Segev is a computer scientist and cryptographer known for his research in theoretical cryptography and information security.
-
B.
Shlomo Ganzfried
Shlomo Ganzfried was a 19th-century Hungarian rabbi and halachic authority best known for composing the widely used concise code of Jewish law, the Kitzur Shulchan Aruch.
-
C.
Raviv Tadmor
Raviv Tadmor is a scientist known for his research in soft matter and interfacial phenomena, and for being a notable student of polymer physicist Jacob Klein.
-
D.
Aharon Katzir
Aharon Katzir was an Israeli biophysicist and pioneering researcher in the electrochemistry of biopolymers who became one of Israel’s most prominent scientists before his assassination in 1972.
-
E.
Yoram Aridor
Yoram Aridor is an Israeli politician and lawyer best known for serving as Israel’s Minister of Finance in the early 1980s, during a period of significant economic turbulence and controversial fiscal policies.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65a597c8190b09f57463b279afc |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1679729c08190a9f6750586f90d8d |
completed | April 29, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69f17005c318819090e54bc64d135477 |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17814de1881908973af026af5d1d1 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.