Triple
T1181022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Money Monster |
E25136
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Lara Alameddine
Lara Alameddine is a film producer known for her work on the financial thriller "Money Monster."
|
E141538
|
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: Lara Alameddine | Statement: [Money Monster, producer, Lara Alameddine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lara Alameddine Context triple: [Money Monster, producer, Lara Alameddine]
-
A.
Rebekah Elmaloglou
Rebekah Elmaloglou is an Australian actress best known for her long-running role as Terese Willis on the soap opera "Neighbours."
-
B.
Safia Farkash
Safia Farkash is the second wife of former Libyan leader Muammar Gaddafi and the mother of several of his children, known primarily for her role as Libya’s de facto first lady during his rule.
-
C.
Nelly Malek
Nelly Malek is best known as the mother of Academy Award–winning actor Rami Malek.
-
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.
Sanaa Hamri
Sanaa Hamri is a Moroccan-American film and television director known for her work on romantic comedies and music videos, including projects with major pop and R&B artists.
- 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: Lara Alameddine Triple: [Money Monster, producer, Lara Alameddine]
Generated description
Lara Alameddine is a film producer known for her work on the financial thriller "Money Monster."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lara Alameddine Target entity description: Lara Alameddine is a film producer known for her work on the financial thriller "Money Monster."
-
A.
Rebekah Elmaloglou
Rebekah Elmaloglou is an Australian actress best known for her long-running role as Terese Willis on the soap opera "Neighbours."
-
B.
Safia Farkash
Safia Farkash is the second wife of former Libyan leader Muammar Gaddafi and the mother of several of his children, known primarily for her role as Libya’s de facto first lady during his rule.
-
C.
Nelly Malek
Nelly Malek is best known as the mother of Academy Award–winning actor Rami Malek.
-
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.
Sanaa Hamri
Sanaa Hamri is a Moroccan-American film and television director known for her work on romantic comedies and music videos, including projects with major pop and R&B artists.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a0646388190b440451d786db04c |
completed | March 7, 2026, 8:26 p.m. |
| NEDg | Description generation | batch_69ac8ccae06c81909704cdf102dcc7dd |
completed | March 7, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8d2ee740819081369787bbf1ef93 |
completed | March 7, 2026, 8:40 p.m. |
Created at: March 1, 2026, 7:45 p.m.