Triple

T5200226
Position Surface form Disambiguated ID Type / Status
Subject Maruti E117374 entity
Predicate parent P120 FINISHED
Object Anjana E118458 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: Anjana | Statement: [Maruti, parent, Anjana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anjana
Context triple: [Maruti, parent, Anjana]
  • A. Anjana chosen
    Anjana is a revered figure in Hindu mythology, best known as the mother of the monkey-god Hanuman and often depicted as a celestial nymph who took birth on earth.
  • B. Manjira
    Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
  • C. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • D. Shivini
    Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
  • E. Nandana
    Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a209d7c81908fa0d3bf2c482a34 completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0a37d8c8190842de23da26dd2cb completed March 21, 2026, 6:17 p.m.
Created at: March 20, 2026, 1:47 p.m.