Triple

T11102588
Position Surface form Disambiguated ID Type / Status
Subject Prithviraj Kapoor E262549 entity
Predicate givenName P17 FINISHED
Object Prithviraj E262549 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: Prithviraj | Statement: [Prithviraj Kapoor, givenName, Prithviraj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prithviraj
Context triple: [Prithviraj Kapoor, givenName, Prithviraj]
  • A. Prithviraj Kapoor chosen
    Prithviraj Kapoor was a pioneering Indian actor and theatre legend, regarded as one of the founding figures of Hindi cinema and the Kapoor film dynasty.
  • B. Vijay
    Vijay is a leading Indian film actor and playback singer, predominantly known for his work in Tamil cinema and his massive fan following across South India.
  • C. Pankaj Tripathi
    Pankaj Tripathi is an acclaimed Indian actor known for his versatile character roles in Hindi films and web series such as Gangs of Wasseypur, Newton, and Mirzapur.
  • D. Ashvajit
    Ashvajit is a Buddhist figure traditionally regarded as one of the early disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
  • E. Vikrant Massey
    Vikrant Massey is an Indian actor known for his versatile performances in television, films, and streaming series such as "A Death in the Gunj," "Mirzapur," and "Haseen Dillruba."
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2c30a481908c45020c37caebe4 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4acd76d20819089ed2ea2c22bc65d completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:27 p.m.