Triple

T1951912
Position Surface form Disambiguated ID Type / Status
Subject Ma Rainey's Black Bottom E42176 entity
Predicate castMember P1668 FINISHED
Object Jeremy Shamos
Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
E219112 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: Jeremy Shamos | Statement: [Ma Rainey's Black Bottom, castMember, Jeremy Shamos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Shamos
Context triple: [Ma Rainey's Black Bottom, castMember, Jeremy Shamos]
  • A. Andrew G. Myers
    Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
  • B. Isaac Z. Schlueter
    Isaac Z. Schlueter is a software engineer and entrepreneur best known for founding npm, the widely used package manager for the Node.js ecosystem.
  • C. Jonathan I. Schwartz
    Jonathan I. Schwartz is an American technology executive best known for serving as the CEO of Sun Microsystems during the mid-2000s.
  • D. Eric D. Schneider
    Eric D. Schneider was a scientist and author known for his work on thermodynamics and complex systems, particularly in collaboration with Dorion Sagan.
  • E. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • 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: Jeremy Shamos
Triple: [Ma Rainey's Black Bottom, castMember, Jeremy Shamos]
Generated description
Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeremy Shamos
Target entity description: Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
  • A. Andrew G. Myers
    Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
  • B. Isaac Z. Schlueter
    Isaac Z. Schlueter is a software engineer and entrepreneur best known for founding npm, the widely used package manager for the Node.js ecosystem.
  • C. Jonathan I. Schwartz
    Jonathan I. Schwartz is an American technology executive best known for serving as the CEO of Sun Microsystems during the mid-2000s.
  • D. Eric D. Schneider
    Eric D. Schneider was a scientist and author known for his work on thermodynamics and complex systems, particularly in collaboration with Dorion Sagan.
  • E. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb34eb5748190a3ac395252951eba completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc3cf6881909d42a04be18c3c73 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfcd009d88190ba7f380aa1c82300 completed March 8, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69adfd946b6081908ab6358d0f237a58 completed March 8, 2026, 10:52 p.m.
Created at: March 4, 2026, 7:36 p.m.