Triple

T8340956
Position Surface form Disambiguated ID Type / Status
Subject Goutam Ghose E195910 entity
Predicate directedFilm P13455 FINISHED
Object Dakhal E728379 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: Dakhal | Statement: [Goutam Ghose, directedFilm, Dakhal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dakhal
Context triple: [Goutam Ghose, directedFilm, Dakhal]
  • A. Dakhal chosen
    Dakhal is an acclaimed Indian Bengali film directed by Goutam Ghose, known for its socially conscious portrayal of marginalized communities and rural injustices.
  • B. Darakeh
    Darakeh is a popular village and recreational area in northern Tehran, Iran, known for its hiking trails, riverside cafés, and scenic mountain views.
  • C. Dhiban
    Dhiban is an archaeological site and modern town in Jordan, historically significant as the ancient Moabite city of Dibon.
  • D. 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.
  • E. Dijlah
    Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
  • 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_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_69cde79e916c8190afc90c3b12c68caf completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:58 p.m.