Triple

T8340947
Position Surface form Disambiguated ID Type / Status
Subject Goutam Ghose E195910 entity
Predicate notableWork P4 FINISHED
Object Dakhal
Dakhal is an acclaimed Indian Bengali film directed by Goutam Ghose, known for its socially conscious portrayal of marginalized communities and rural injustices.
 E728379 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: Dakhal | Statement: [Goutam Ghose, notableWork, Dakhal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dakhal
Context triple: [Goutam Ghose, notableWork, Dakhal]
  • A. Darakeh
    Darakeh is a popular village and recreational area in northern Tehran, Iran, known for its hiking trails, riverside cafés, and scenic mountain views.
  • B. Dhiban
    Dhiban is an archaeological site and modern town in Jordan, historically significant as the ancient Moabite city of Dibon.
  • C. Dunqulah
    Dunqulah is an alternative name for Dongola, a historic town in northern Sudan on the Nile River that has served as an important regional and cultural center.
  • D. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • E. Dabaa
    Dabaa is a coastal town on Egypt’s Mediterranean shore, known primarily as the planned site of the country’s first nuclear power plant.
  • 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: Dakhal
Triple: [Goutam Ghose, notableWork, Dakhal]
Generated description
Dakhal is an acclaimed Indian Bengali film directed by Goutam Ghose, known for its socially conscious portrayal of marginalized communities and rural injustices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dakhal
Target entity description: Dakhal is an acclaimed Indian Bengali film directed by Goutam Ghose, known for its socially conscious portrayal of marginalized communities and rural injustices.
  • A. Darakeh
    Darakeh is a popular village and recreational area in northern Tehran, Iran, known for its hiking trails, riverside cafés, and scenic mountain views.
  • B. Dhiban
    Dhiban is an archaeological site and modern town in Jordan, historically significant as the ancient Moabite city of Dibon.
  • C. Dunqulah
    Dunqulah is an alternative name for Dongola, a historic town in northern Sudan on the Nile River that has served as an important regional and cultural center.
  • D. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • E. Dabaa
    Dabaa is a coastal town on Egypt’s Mediterranean shore, known primarily as the planned site of the country’s first nuclear power plant.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc72bc43c81909d95c7eb6aefc403 completed April 2, 2026, 1:32 a.m.
NEDg Description generation batch_69cdcb90bec88190a2c19681405aa13e completed April 2, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd0fc9488190a0a576c385b9bc1f completed April 2, 2026, 1:57 a.m.
Created at: March 30, 2026, 5:58 p.m.