Triple
T16183486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarfarosh |
E392741
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
John Matthew Matthan
John Matthew Matthan is an Indian film director best known for helming the acclaimed 1999 Hindi crime drama "Sarfarosh."
|
E1199411
|
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: John Matthew Matthan | Statement: [Sarfarosh, director, John Matthew Matthan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Matthew Matthan Context triple: [Sarfarosh, director, John Matthew Matthan]
-
A.
Matthew Nathan
Matthew Nathan was a British Army officer and colonial administrator who served as Governor of Hong Kong in the early 20th century.
-
B.
Mathew
Mathew is the given name of Mathew Knowles, the American music executive best known as Beyoncé’s father and former manager.
-
C.
Alex Mather
Alex Mather is an American entrepreneur best known as the co-founder of the sports media company The Athletic.
-
D.
Luke Matheny
Luke Matheny is an American filmmaker, actor, and writer best known for winning the Academy Award for Best Live Action Short Film for "God of Love."
-
E.
Mathew Prichard
Mathew Prichard is a British television producer and the grandson of famed mystery writer Agatha Christie, known for overseeing adaptations of her works.
- 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: John Matthew Matthan Triple: [Sarfarosh, director, John Matthew Matthan]
Generated description
John Matthew Matthan is an Indian film director best known for helming the acclaimed 1999 Hindi crime drama "Sarfarosh."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Matthew Matthan Target entity description: John Matthew Matthan is an Indian film director best known for helming the acclaimed 1999 Hindi crime drama "Sarfarosh."
-
A.
Matthew Nathan
Matthew Nathan was a British Army officer and colonial administrator who served as Governor of Hong Kong in the early 20th century.
-
B.
Mathew
Mathew is the given name of Mathew Knowles, the American music executive best known as Beyoncé’s father and former manager.
-
C.
Alex Mather
Alex Mather is an American entrepreneur best known as the co-founder of the sports media company The Athletic.
-
D.
Luke Matheny
Luke Matheny is an American filmmaker, actor, and writer best known for winning the Academy Award for Best Live Action Short Film for "God of Love."
-
E.
Mathew Prichard
Mathew Prichard is a British television producer and the grandson of famed mystery writer Agatha Christie, known for overseeing adaptations of her works.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff03400481908e66db8cf0213c15 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0000ceba648190ac5ecefd34f10d4e |
completed | May 10, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00013fdb1c8190add653fc1cf30e44 |
completed | May 10, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:02 a.m.