Triple

T7816037
Position Surface form Disambiguated ID Type / Status
Subject Rituparno Ghosh E181008 entity
Predicate directed P7373 FINISHED
Object Dosar E694838 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: Dosar | Statement: [Rituparno Ghosh, directed, Dosar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dosar
Context triple: [Rituparno Ghosh, directed, Dosar]
  • A. Dosar chosen
    Dosar is a 2006 Bengali drama film directed by Rituparno Ghosh that explores complex marital relationships and emotional infidelity.
  • B. Les Dingodossiers
    Les Dingodossiers is a French comic series blending absurd humor and satirical short stories, created in the 1960s by René Goscinny and Gotlib.
  • C. The Summons
    The Summons is a legal thriller novel by John Grisham that follows a law professor who uncovers a mysterious stash of cash among his late father's belongings, drawing him into danger and intrigue.
  • D. Olay
    Olay is a popular global skincare brand known for its anti-aging creams, moisturizers, and facial care products.
  • E. Filerimos
    Filerimos is a historic hill on the island of Rhodes in Greece, known for its medieval monastery, ancient acropolis ruins, and panoramic views over the surrounding area.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96d1f088190a1d005ffb019afe9 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a5c24908190847b612a56a1abf5 completed March 31, 2026, 5:23 a.m.
Created at: March 30, 2026, 4:39 p.m.