Triple

T4424873
Position Surface form Disambiguated ID Type / Status
Subject CLIP E95184 entity
Predicate introducedBy P513 FINISHED
Object Pamela Mishkin
Pamela Mishkin is an AI policy and safety researcher known for her work at OpenAI on the societal impacts and governance of advanced artificial intelligence systems.
E498976 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: Pamela Mishkin | Statement: [CLIP, introducedBy, Pamela Mishkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamela Mishkin
Context triple: [CLIP, introducedBy, Pamela Mishkin]
  • A. Anna D. Shapiro
    Anna D. Shapiro is a Tony Award–winning American theater director known for her work on major Broadway productions and new plays.
  • B. Janet Margolin
    Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
  • C. Judith F. Marks
    Judith F. Marks is an American business executive known for her leadership roles in major industrial and technology companies, including serving as a top executive at Otis Elevator Company.
  • D. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • E. Sari Gilman
    Sari Gilman is a film editor best known for her work on the Academy Award–winning documentary "Taxi to the Dark Side."
  • 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: Pamela Mishkin
Triple: [CLIP, introducedBy, Pamela Mishkin]
Generated description
Pamela Mishkin is an AI policy and safety researcher known for her work at OpenAI on the societal impacts and governance of advanced artificial intelligence systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pamela Mishkin
Target entity description: Pamela Mishkin is an AI policy and safety researcher known for her work at OpenAI on the societal impacts and governance of advanced artificial intelligence systems.
  • A. Anna D. Shapiro
    Anna D. Shapiro is a Tony Award–winning American theater director known for her work on major Broadway productions and new plays.
  • B. Janet Margolin
    Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
  • C. Judith F. Marks
    Judith F. Marks is an American business executive known for her leadership roles in major industrial and technology companies, including serving as a top executive at Otis Elevator Company.
  • D. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • E. Sari Gilman
    Sari Gilman is a film editor best known for her work on the Academy Award–winning documentary "Taxi to the Dark Side."
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554ca5208190ba2661616dcf071c completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f8a8a08190b403b8c3caf20009 completed March 21, 2026, 5:44 p.m.
NEDg Description generation batch_69bed9c4bd98819089c9d656379a959d completed March 21, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69beda1519348190a09e01ce4464bccc completed March 21, 2026, 5:49 p.m.
Created at: March 12, 2026, 11:30 p.m.