Triple

T18205038
Position Surface form Disambiguated ID Type / Status
Subject LayoutLM E435880 entity
Predicate hasAuthor P4244 FINISHED
Object Ming Zhou NE NERFINISHED

How this triple was built (3 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: Ming Zhou | Statement: [LayoutLM, hasAuthor, Ming Zhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ming Zhou
Context triple: [LayoutLM, hasAuthor, Ming Zhou]
  • A. Tinghui Zhou
    Tinghui Zhou is a computer vision and machine learning researcher known for influential work on unsupervised learning and image-to-image translation.
  • B. Mingda Chen
    Mingda Chen is a researcher in natural language processing known for work on large-scale language models and representation learning, including contributions to the ALBERT model.
  • C. Yanqi Zhou
    Yanqi Zhou is a computer scientist and researcher known for her work in natural language processing and for helping develop the T5 text-to-text transformer model at Google.
  • D. Jin Wang
    Jin Wang is the Chinese American teenage protagonist of Gene Luen Yang’s graphic novel "American Born Chinese," whose story explores identity, assimilation, and cultural conflict.
  • E. Menglong Zhu
    Menglong Zhu is a computer vision and deep learning researcher known for co-developing the efficient convolutional neural network architecture MobileNetV2.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ming Zhou
Target entity description: Ming Zhou is a computer scientist and researcher known for his contributions to natural language processing and document understanding models.
  • A. Tinghui Zhou
    Tinghui Zhou is a computer vision and machine learning researcher known for influential work on unsupervised learning and image-to-image translation.
  • B. Mingda Chen
    Mingda Chen is a researcher in natural language processing known for work on large-scale language models and representation learning, including contributions to the ALBERT model.
  • C. Yanqi Zhou
    Yanqi Zhou is a computer scientist and researcher known for her work in natural language processing and for helping develop the T5 text-to-text transformer model at Google.
  • D. Jin Wang
    Jin Wang is the Chinese American teenage protagonist of Gene Luen Yang’s graphic novel "American Born Chinese," whose story explores identity, assimilation, and cultural conflict.
  • E. Menglong Zhu
    Menglong Zhu is a computer vision and deep learning researcher known for co-developing the efficient convolutional neural network architecture MobileNetV2.
  • F. None of above. chosen

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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.