Triple

T18724171
Position Surface form Disambiguated ID Type / Status
Subject Niki Parmar E457853 entity
Predicate coAuthorWith P398 FINISHED
Object Niki Uszkoreit NE NERFINISHED

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: Niki Uszkoreit | Statement: [Niki Parmar, coAuthorWith, Niki Uszkoreit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niki Uszkoreit
Context triple: [Niki Parmar, coAuthorWith, Niki Uszkoreit]
  • A. Jakob Uszkoreit chosen
    Jakob Uszkoreit is a computer scientist and AI researcher best known as one of the co-authors of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture.
  • B. Richard Socher
    Richard Socher is a prominent computer scientist and entrepreneur known for his influential work in natural language processing and deep learning, including serving as Chief Scientist at Salesforce and founding the AI company You.com.
  • C. Michael N. Marcus
    Michael N. Marcus is a screenwriter best known for his work on the 1966 Western film "Duel at Diablo."
  • D. Michael Kenstowicz
    Michael Kenstowicz is an American linguist and phonologist known for his influential work on generative phonology and for co-authoring widely used textbooks in the field.
  • E. Dzmitry Bahdanau
    Dzmitry Bahdanau is a computer scientist best known for pioneering the neural attention mechanism in sequence-to-sequence models, which transformed neural machine translation and modern deep learning.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56abcfc048190a01dee959e768768 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.