Triple
T14509125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casino Jack and the United States of Money |
E340349
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Zena Barakat
Zena Barakat is a film producer known for her work on the political documentary "Casino Jack and the United States of Money."
|
E1102913
|
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: Zena Barakat | Statement: [Casino Jack and the United States of Money, producer, Zena Barakat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zena Barakat Context triple: [Casino Jack and the United States of Money, producer, Zena Barakat]
-
A.
Fathiya al-Najjar
Fathiya al-Najjar is known as the wife of the late Hamas co-founder and leader Abdel Aziz al-Rantisi.
-
B.
Mona Khalidi
Mona Khalidi is known primarily as the wife of Palestinian-American historian and Columbia University professor Rashid Khalidi.
-
C.
Aida El-Kachef
Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
-
D.
Hanan Hashim
Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
-
E.
Tahani Al-Jamil
Tahani Al-Jamil is a wealthy, status-obsessed British socialite known for her constant name-dropping and deep-seated insecurities in the comedy series "The Good Place."
- 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: Zena Barakat Triple: [Casino Jack and the United States of Money, producer, Zena Barakat]
Generated description
Zena Barakat is a film producer known for her work on the political documentary "Casino Jack and the United States of Money."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zena Barakat Target entity description: Zena Barakat is a film producer known for her work on the political documentary "Casino Jack and the United States of Money."
-
A.
Fathiya al-Najjar
Fathiya al-Najjar is known as the wife of the late Hamas co-founder and leader Abdel Aziz al-Rantisi.
-
B.
Mona Khalidi
Mona Khalidi is known primarily as the wife of Palestinian-American historian and Columbia University professor Rashid Khalidi.
-
C.
Aida El-Kachef
Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
-
D.
Hanan Hashim
Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
-
E.
Tahani Al-Jamil
Tahani Al-Jamil is a wealthy, status-obsessed British socialite known for her constant name-dropping and deep-seated insecurities in the comedy series "The Good Place."
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da26a308190bf86ed1edbe8d57e |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd71ef47848190bf10dbedb72304e6 |
completed | May 8, 2026, 5:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd729c87dc81909d9149928c70cb00 |
completed | May 8, 2026, 5:20 a.m. |
Created at: April 10, 2026, 1:21 a.m.