Triple

T11003280
Position Surface form Disambiguated ID Type / Status
Subject Distributed Representations of Sentences and Documents E260051 entity
Predicate author P4 FINISHED
Object Quoc V. Le E46144 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: Quoc V. Le | Statement: [Distributed Representations of Sentences and Documents, author, Quoc V. Le]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quoc V. Le
Context triple: [Distributed Representations of Sentences and Documents, author, Quoc V. Le]
  • A. Quoc V. Le chosen
    Quoc V. Le is a prominent computer scientist and AI researcher known for his influential work in deep learning and large-scale machine learning at Google.
  • B. Hiep Thi Le
    Hiep Thi Le was a Vietnamese-American actress best known for her breakout leading role in Oliver Stone’s 1993 film "Heaven & Earth."
  • C. David H. Tu
    David H. Tu is a biotechnology entrepreneur best known as a founder of the DNA sequencing company Pacific Biosciences.
  • D. Oanh Nguyen
    Oanh Nguyen is an actor known for appearing in the film "Two Brothers."
  • E. Andrew T. Hsu
    Andrew T. Hsu is an academic leader and engineer who serves as the president of the College of Charleston.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797546f448190946ee6442d657dc5 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e37486b23081909ad282397c50a913 completed April 18, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:25 p.m.