Triple
T7660535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guerrilla |
E173491
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Shatabdi Wadud
Shatabdi Wadud is a Bangladeshi actor known for his work in film, television, and theater.
|
E679471
|
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: Shatabdi Wadud | Statement: [Guerrilla, starring, Shatabdi Wadud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shatabdi Wadud Context triple: [Guerrilla, starring, Shatabdi Wadud]
-
A.
Saman Khuda
Saman Khuda was an 8th-century Persian nobleman and landowner whose descendants founded the Samanid dynasty, a major Iranian empire in Central Asia.
-
B.
Al-Wadud
Al-Wadud is one of the 99 Names of Allah in Islam, signifying God as the Most Loving and Affectionate toward His creation.
-
C.
Shabana
Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
-
D.
Asmat Begum
Asmat Begum was a Mughal noblewoman and relative of Empress Nur Jahan, remembered primarily for her association with the imperial family and her burial in the famed Itmad-ud-Daulah's Tomb in Agra.
-
E.
Wafa Begum
Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
- 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: Shatabdi Wadud Triple: [Guerrilla, starring, Shatabdi Wadud]
Generated description
Shatabdi Wadud is a Bangladeshi actor known for his work in film, television, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shatabdi Wadud Target entity description: Shatabdi Wadud is a Bangladeshi actor known for his work in film, television, and theater.
-
A.
Saman Khuda
Saman Khuda was an 8th-century Persian nobleman and landowner whose descendants founded the Samanid dynasty, a major Iranian empire in Central Asia.
-
B.
Al-Wadud
Al-Wadud is one of the 99 Names of Allah in Islam, signifying God as the Most Loving and Affectionate toward His creation.
-
C.
Shabana
Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
-
D.
Asmat Begum
Asmat Begum was a Mughal noblewoman and relative of Empress Nur Jahan, remembered primarily for her association with the imperial family and her burial in the famed Itmad-ud-Daulah's Tomb in Agra.
-
E.
Wafa Begum
Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a47a5c8190867e39f552c86787 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b14b6848190892a262903d78b79 |
completed | March 29, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69c89becbf148190b1f065f4016a6d03 |
completed | March 29, 2026, 3:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89cc3a3788190bd91aa0995b96c26 |
completed | March 29, 2026, 3:30 a.m. |
Created at: March 27, 2026, 3:59 p.m.