Triple

T14613313
Position Surface form Disambiguated ID Type / Status
Subject Describe the Night E343013 entity
Predicate writer P1360 FINISHED
Object Rajiv Joseph E68592 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: Rajiv Joseph | Statement: [Describe the Night, writer, Rajiv Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajiv Joseph
Context triple: [Describe the Night, writer, Rajiv Joseph]
  • A. Rajiv Joseph chosen
    Rajiv Joseph is an American playwright known for his darkly comic, emotionally resonant works such as the Pulitzer Prize–finalist play "Bengal Tiger at the Baghdad Zoo."
  • B. Karl Taro Greenfeld
    Karl Taro Greenfeld is an American writer and journalist known for his fiction and nonfiction exploring contemporary culture, Asia, and family life.
  • C. Joshua Cohen
    Joshua Cohen is an American political philosopher known for his work on democratic theory, deliberative democracy, and justice, often engaging with and extending the ideas of John Rawls.
  • D. Ramin Ganeshram
    Ramin Ganeshram is an American journalist, food writer, and author known for her work on culinary history and cultural heritage.
  • E. Jeffrey Levy-Hinte
    Jeffrey Levy-Hinte is an American film producer known for his work on acclaimed independent films such as "The Kids Are All Right" and "Thirteen."
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bbfc6048190897f064a5686ebf8 completed May 9, 2026, 1:19 a.m.
Created at: April 10, 2026, 1:25 a.m.