Triple

T17505626
Position Surface form Disambiguated ID Type / Status
Subject Edge.org E426306 entity
Predicate hasContributor P4244 FINISHED
Object Alison Gopnik
Alison Gopnik is a developmental psychologist and author known for her research on how children learn and for popular science books exploring the science of childhood and the mind.
E1272628 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: Alison Gopnik | Statement: [Edge.org, hasContributor, Alison Gopnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alison Gopnik
Context triple: [Edge.org, hasContributor, Alison Gopnik]
  • A. Michael Tomasello
    Michael Tomasello is an American developmental and comparative psychologist known for his influential research on child language acquisition, social cognition, and the evolution of human cooperation.
  • B. Ann Belsky
    Ann Belsky was a costume designer and the late wife of Canadian actor Rick Moranis.
  • C. Margaret Schaffran
    Margaret Schaffran is known as the former spouse of American television producer and screenwriter Donald P. Bellisario.
  • D. Linda Rogoff
    Linda Rogoff was an American musician and manager best known as the wife and longtime partner of actor George Segal.
  • E. Michael Tronick
    Michael Tronick is an American film editor known for his work on numerous major Hollywood productions across several decades.
  • 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: Alison Gopnik
Triple: [Edge.org, hasContributor, Alison Gopnik]
Generated description
Alison Gopnik is a developmental psychologist and author known for her research on how children learn and for popular science books exploring the science of childhood and the mind.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alison Gopnik
Target entity description: Alison Gopnik is a developmental psychologist and author known for her research on how children learn and for popular science books exploring the science of childhood and the mind.
  • A. Michael Tomasello
    Michael Tomasello is an American developmental and comparative psychologist known for his influential research on child language acquisition, social cognition, and the evolution of human cooperation.
  • B. Ann Belsky
    Ann Belsky was a costume designer and the late wife of Canadian actor Rick Moranis.
  • C. Margaret Schaffran
    Margaret Schaffran is known as the former spouse of American television producer and screenwriter Donald P. Bellisario.
  • D. Linda Rogoff
    Linda Rogoff was an American musician and manager best known as the wife and longtime partner of actor George Segal.
  • E. Michael Tronick
    Michael Tronick is an American film editor known for his work on numerous major Hollywood productions across several decades.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452159c28819084b2cba4313ddf28 completed April 19, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c20a6370819098b4876ca8ff1ebf completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c3881f6081908f13c4033933b252 completed May 11, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01c41859008190b786bdc2c09f24d1 completed May 11, 2026, 11:57 a.m.
Created at: April 10, 2026, 5:48 a.m.