Triple
T10213287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rangeela |
E242381
|
entity |
| Predicate | dialogueWriter |
P73565
|
FINISHED |
| Object | Khalid Mohamed |
E849932
|
NE FINISHED |
How this triple was built (2 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: Khalid Mohamed | Statement: [Rangeela, dialogueWriter, Khalid Mohamed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khalid Mohamed Context triple: [Rangeela, dialogueWriter, Khalid Mohamed]
-
A.
Khalid Mohamed
chosen
Khalid Mohamed is an Indian film critic, journalist, and filmmaker known for his work on several notable Hindi films as a writer and director.
-
B.
Idris Muhammad
Idris Muhammad was an American jazz drummer renowned for his versatile, groove-oriented playing and influential work in soul jazz, funk, and hard bop.
-
C.
Jamal Malik
Jamal Malik is the impoverished yet resourceful young man from Mumbai who becomes a game-show sensation in the film "Slumdog Millionaire."
-
D.
Khalid Abdalla
Khalid Abdalla is a British-Egyptian actor and activist best known for his roles in films such as "United 93," "The Kite Runner," and "Green Zone."
-
E.
Ghaith Abdul-Ahad
Ghaith Abdul-Ahad is an Iraqi journalist and war correspondent renowned for his frontline reporting from conflict zones across the Middle East.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7f6730081908b941eaeb6c00993 |
completed | April 8, 2026, 7:09 p.m. |
Created at: April 6, 2026, 11:03 a.m.