Triple
T1529172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengali cinema |
E32401
|
entity |
| Predicate | hasNotableActor |
P17435
|
FINISHED |
| Object |
Razzak
Razzak was a legendary Bangladeshi film actor, often hailed as "Nayak Raj," who became one of the most iconic and influential stars in Bengali cinema.
|
E179102
|
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: Razzak | Statement: [Bengali cinema, hasNotableActor, Razzak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Razzak Context triple: [Bengali cinema, hasNotableActor, Razzak]
-
A.
Zafar
Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
-
B.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
C.
Ilyas
Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
-
D.
Rafiq
Rafiq was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to establish Bangla as a state language.
-
E.
Barkat
Barkat was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to preserve the Bengali language and cultural identity.
- 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: Razzak Triple: [Bengali cinema, hasNotableActor, Razzak]
Generated description
Razzak was a legendary Bangladeshi film actor, often hailed as "Nayak Raj," who became one of the most iconic and influential stars in Bengali cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Razzak Target entity description: Razzak was a legendary Bangladeshi film actor, often hailed as "Nayak Raj," who became one of the most iconic and influential stars in Bengali cinema.
-
A.
Zafar
Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
-
B.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
C.
Ilyas
Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
-
D.
Rafiq
Rafiq was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to establish Bangla as a state language.
-
E.
Barkat
Barkat was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to preserve the Bengali language and cultural identity.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb1dfd1a48190804ca5f0fb6f5985 |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad401616ec81908edd9dcb9f4a0184 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad4130bf30819092be42a4e9225220 |
completed | March 8, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41968e4c8190b843b97e18ac9968 |
completed | March 8, 2026, 9:29 a.m. |
Created at: March 4, 2026, 7:26 p.m.