Triple

T4293674
Position Surface form Disambiguated ID Type / Status
Subject A3C E99656 entity
Predicate introducedBy P513 FINISHED
Object Timothy P. Lillicrap
Timothy P. Lillicrap is a Canadian-born neuroscientist and DeepMind researcher known for influential work in deep reinforcement learning and neural network optimization.
E442790 NE FINISHED

How this triple was built (4 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: Timothy P. Lillicrap | Statement: [A3C, introducedBy, Timothy P. Lillicrap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy P. Lillicrap
Context triple: [A3C, introducedBy, Timothy P. Lillicrap]
  • A. Timothy J. Sexton
    Timothy J. Sexton is an American screenwriter best known for co-writing the critically acclaimed dystopian film "Children of Men."
  • B. Timothy M. Burgess
    Timothy M. Burgess is a United States federal judge who serves on the bench of the District of Alaska.
  • C. Timothy Williamson
    Timothy Williamson is a prominent contemporary British philosopher known for his influential work in epistemology, metaphysics, and the philosophy of language.
  • D. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • E. Timothy Fall
    Timothy Fall is an actor known for his role in the British television sitcom "Bob."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Timothy P. Lillicrap
Triple: [A3C, introducedBy, Timothy P. Lillicrap]
Generated description
Timothy P. Lillicrap is a Canadian-born neuroscientist and DeepMind researcher known for influential work in deep reinforcement learning and neural network optimization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Timothy P. Lillicrap
Target entity description: Timothy P. Lillicrap is a Canadian-born neuroscientist and DeepMind researcher known for influential work in deep reinforcement learning and neural network optimization.
  • A. Timothy J. Sexton
    Timothy J. Sexton is an American screenwriter best known for co-writing the critically acclaimed dystopian film "Children of Men."
  • B. Timothy M. Burgess
    Timothy M. Burgess is a United States federal judge who serves on the bench of the District of Alaska.
  • C. Timothy Williamson
    Timothy Williamson is a prominent contemporary British philosopher known for his influential work in epistemology, metaphysics, and the philosophy of language.
  • D. Michael T. Williamson
    Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
  • E. Timothy Fall
    Timothy Fall is an actor known for his role in the British television sitcom "Bob."
  • F. None of above. chosen

Provenance (5 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35082228081908504e3fd7c4ca1e8 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627cfba848190a56a25c6d7d750c7 completed March 15, 2026, 3:30 a.m.
NEDg Description generation batch_69b628fe10908190978dd0361628f54f completed March 15, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69b629ab52c881909f7fbef6f77b5bc4 completed March 15, 2026, 3:38 a.m.
Created at: March 12, 2026, 11:08 p.m.