Triple

T18258391
Position Surface form Disambiguated ID Type / Status
Subject Language Models are Unsupervised Multitask Learners E437278 entity
Predicate author P4 FINISHED
Object David Luan 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: David Luan | Statement: [Language Models are Unsupervised Multitask Learners, author, David Luan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Luan
Context triple: [Language Models are Unsupervised Multitask Learners, author, David Luan]
  • A. David Luan chosen
    David Luan is an AI researcher and entrepreneur known for his work on large language models at OpenAI and as co-founder and CEO of Adept AI.
  • B. Michael Lai
    Michael Lai was a prominent Hong Kong composer and music producer best known for his influential film and television scores.
  • C. Alan Leong
    Alan Leong is a Hong Kong barrister and pro-democracy politician known for his leadership in the Civic Party and his candidacy in the 2007 Chief Executive election.
  • D. Curtis Chin
    Curtis Chin is an Asian American writer, filmmaker, and activist known for co-founding the Asian American Writers’ Workshop and for his work highlighting Asian American experiences and social justice issues.
  • E. Roland Lui
    Roland Lui is an actor known for his role in the film adaptation of Pearl S. Buck’s novel "The Good Earth."
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8879e88190893f8da7c3529496 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.