Triple
T2214993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slumdog Millionaire |
E48010
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Jamal Malik
Jamal Malik is the impoverished yet resourceful young man from Mumbai who becomes a game-show sensation in the film "Slumdog Millionaire."
|
E243949
|
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: Jamal Malik | Statement: [Slumdog Millionaire, mainCharacter, Jamal Malik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jamal Malik Context triple: [Slumdog Millionaire, mainCharacter, Jamal Malik]
-
A.
Omar Ishrak
Omar Ishrak is a Bangladeshi-American business executive best known for leading Medtronic as its longtime CEO and later serving as chairman of the company.
-
B.
Hussain Kirsha
Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
-
C.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
D.
Munir
Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
-
E.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
- 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: Jamal Malik Triple: [Slumdog Millionaire, mainCharacter, Jamal Malik]
Generated description
Jamal Malik is the impoverished yet resourceful young man from Mumbai who becomes a game-show sensation in the film "Slumdog Millionaire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jamal Malik Target entity description: Jamal Malik is the impoverished yet resourceful young man from Mumbai who becomes a game-show sensation in the film "Slumdog Millionaire."
-
A.
Omar Ishrak
Omar Ishrak is a Bangladeshi-American business executive best known for leading Medtronic as its longtime CEO and later serving as chairman of the company.
-
B.
Hussain Kirsha
Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
-
C.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
D.
Munir
Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
-
E.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbff11574819091d1b50d637ae767 |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6554f3308190a180cac3ad7e2ce4 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae65d419048190ad723d21ab7f1cab |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae666e71908190b50be2cac5bdfa28 |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:46 p.m.