Triple

T5524587
Position Surface form Disambiguated ID Type / Status
Subject Dimple Kapadia E144890 entity
Predicate awardReceivedFor P107 FINISHED
Object Saagar E528617 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: Saagar | Statement: [Dimple Kapadia, awardReceivedFor, Saagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saagar
Context triple: [Dimple Kapadia, awardReceivedFor, Saagar]
  • A. Saagar chosen
    Saagar is a 1985 Hindi romantic drama film, directed by Ramesh Sippy, that is widely acclaimed for its performances by Dimple Kapadia, Rishi Kapoor, and Kamal Haasan and its memorable music by R.D. Burman.
  • B. Sagar
    Sagar is a prominent city in central India known for its educational institutions, historical significance, and role as an administrative and commercial hub in Madhya Pradesh.
  • C. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • D. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • E. Kala Pani
    Kala Pani is the infamous British-era colonial prison in the Andaman and Nicobar Islands, known for its harsh conditions and use to exile Indian freedom fighters.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f874bd081909cccfc25767ee6fa completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cd6ce3c8190ac5ef4c216190266 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:34 p.m.