Triple

T3066700
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth: The Golden Age E62119 entity
Predicate director P255 FINISHED
Object Shekhar Kapur
Shekhar Kapur is an Indian filmmaker and actor best known internationally for directing the acclaimed historical dramas "Elizabeth" and its sequel "Elizabeth: The Golden Age."
E322804 NE FINISHED

How this triple was built (4 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: Shekhar Kapur | Statement: [Elizabeth: The Golden Age, director, Shekhar Kapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shekhar Kapur
Context triple: [Elizabeth: The Golden Age, director, Shekhar Kapur]
  • A. Bimal Parekh
    Bimal Parekh is an Indian businessman and co-owner of the Indian Super League football club Mumbai City FC.
  • B. Mani Ratnam
    Mani Ratnam is an acclaimed Indian filmmaker known for his influential, visually distinctive and socially conscious films primarily in Tamil cinema.
  • C. Deepak Kapur
    Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
  • D. Balu Mahendra
    Balu Mahendra was an acclaimed Indian filmmaker and cinematographer known for his visually poetic, character-driven films primarily in Tamil cinema.
  • E. Dil Raju
    Dil Raju is a prominent Indian film producer and distributor known for backing numerous successful and influential Telugu-language movies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shekhar Kapur
Triple: [Elizabeth: The Golden Age, director, Shekhar Kapur]
Generated description
Shekhar Kapur is an Indian filmmaker and actor best known internationally for directing the acclaimed historical dramas "Elizabeth" and its sequel "Elizabeth: The Golden Age."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shekhar Kapur
Target entity description: Shekhar Kapur is an Indian filmmaker and actor best known internationally for directing the acclaimed historical dramas "Elizabeth" and its sequel "Elizabeth: The Golden Age."
  • A. Bimal Parekh
    Bimal Parekh is an Indian businessman and co-owner of the Indian Super League football club Mumbai City FC.
  • B. Mani Ratnam
    Mani Ratnam is an acclaimed Indian filmmaker known for his influential, visually distinctive and socially conscious films primarily in Tamil cinema.
  • C. Deepak Kapur
    Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
  • D. Balu Mahendra
    Balu Mahendra was an acclaimed Indian filmmaker and cinematographer known for his visually poetic, character-driven films primarily in Tamil cinema.
  • E. Dil Raju
    Dil Raju is a prominent Indian film producer and distributor known for backing numerous successful and influential Telugu-language movies.
  • F. None of above. chosen

Provenance (5 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fd87308190918e7b616f033faa completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef16cf2881908265dfe8a1e3424d completed March 11, 2026, 10:39 p.m.
NEDg Description generation batch_69b1f028cd0881909b35bf1870aae534 completed March 11, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_69b1f0a0f15481909f71c702ecc93924 completed March 11, 2026, 10:45 p.m.
Created at: March 8, 2026, 3:02 p.m.