Triple

T4513806
Position Surface form Disambiguated ID Type / Status
Subject Surya E102109 entity
Predicate alsoKnownAs P39 FINISHED
Object Ravi E62996 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: Ravi | Statement: [Surya, alsoKnownAs, Ravi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravi
Context triple: [Surya, alsoKnownAs, Ravi]
  • A. Ravi chosen
    Ravi is one of the major rivers of northern India and Pakistan, flowing through the Punjab region and serving as an important tributary of the Indus River system.
  • B. Raj
    Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
  • C. Nishant
    Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
  • D. Naveen
    Naveen is a male given name commonly used in South Asian cultures, particularly in India.
  • E. Sanjay
    Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd572402f481908151f7899bc96306 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f8f66ac8190b719a653686c7258 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:02 p.m.