Triple

T4029951
Position Surface form Disambiguated ID Type / Status
Subject The Green Goddess (1923 film) E83683 entity
Predicate character P662 FINISHED
Object The Raja E310655 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: The Raja | Statement: [The Green Goddess (1923 film), character, The Raja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Raja
Context triple: [The Green Goddess (1923 film), character, The Raja]
  • A. Maharaja
    Maharaja is a royal title historically used by sovereign Hindu and Sikh rulers in the Indian subcontinent, denoting a "great king" or high-ranking monarch.
  • B. Raja chosen
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • C. Yantra Raj
    Yantra Raj is a monumental astronomical instrument at Jaipur’s Jantar Mantar observatory, historically used for precise celestial measurements and timekeeping.
  • D. The Rains of Ranchipur
    The Rains of Ranchipur is a 1955 romantic drama disaster film set in British-ruled India, known as a Technicolor Cinemascope remake of the 1939 film The Rains Came.
  • E. Ranchipur
    Ranchipur is the fictional Indian princely city that serves as the central backdrop for Louis Bromfield’s novel and its film adaptation "The Rains Came."
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf1d8208190951a20ad7e5ab7bc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55638390481909d8e4b7340f92a06 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.