Triple

T14239713
Position Surface form Disambiguated ID Type / Status
Subject Dhawan E352973 entity
Predicate hasNotableBearer P458 FINISHED
Object David Dhawan E403035 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: David Dhawan | Statement: [Dhawan, hasNotableBearer, David Dhawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Dhawan
Context triple: [Dhawan, hasNotableBearer, David Dhawan]
  • A. David Dhawan chosen
    David Dhawan is a prominent Indian film director best known for his popular Bollywood comedy films, especially those starring Govinda in the 1990s and early 2000s.
  • B. 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.
  • C. Manish Bhasin
    Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
  • D. Vikas Khanna
    Vikas Khanna is an acclaimed Indian chef, restaurateur, cookbook author, and filmmaker known for his Michelin-starred cooking and appearances on culinary television shows.
  • E. Anupam Tripathi
    Anupam Tripathi is an Indian actor best known internationally for his breakout role as Ali Abdul in the South Korean Netflix series "Squid Game."
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62432fb48190b153805b85c4f2d2 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3253fc2c8190ba2da6fe6a910d85 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:08 a.m.