Triple

T22111388
Position Surface form Disambiguated ID Type / Status
Subject Ramayan (TV series) E546425 entity
Predicate portraysCharacter P1668 FINISHED
Object Hanuman NE NERFINISHED

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: Hanuman | Statement: [Ramayan (TV series), portraysCharacter, Hanuman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanuman
Context triple: [Ramayan (TV series), portraysCharacter, Hanuman]
  • A. Hanuman chosen
    Hanuman is a revered Hindu deity known for his immense strength, unwavering devotion to Lord Rama, and central role in the epic Ramayana.
  • B. Hanuman Pol
    Hanuman Pol is one of the main historic entrance gates of Rajasthan’s Kumbhalgarh Fort, serving as a fortified access point and defensive structure.
  • C. Anjaneya
    Anjaneya is another name for the Hindu deity Hanuman, revered as a symbol of strength, devotion, and selfless service.
  • D. Rama
    Rama is a common Albanian surname notably borne by Edi Rama, the Prime Minister of Albania.
  • E. Rama
    Rama is a small rural community located in the Canadian province of Saskatchewan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12949cc7881908898ca7dc130f57f completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.