Triple

T9359950
Position Surface form Disambiguated ID Type / Status
Subject Manning E225250 entity
Predicate hasNotableBearer P458 FINISHED
Object Marya Mannes
Marya Mannes was an American writer, critic, and social commentator known for her sharp wit and incisive observations on mid-20th-century culture and politics.
 E795488 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: Marya Mannes | Statement: [Manning, hasNotableBearer, Marya Mannes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marya Mannes
Context triple: [Manning, hasNotableBearer, Marya Mannes]
  • A. Marianne Ehrlich
    Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
  • B. Margaret Shenberg
    Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
  • C. Carol Mendelsohn
    Carol Mendelsohn is an American television producer and writer best known for her influential work shaping the CSI franchise and modern crime procedural dramas.
  • D. Carmen Bernstein
    Carmen Bernstein is a sharp-tongued, no-nonsense theater producer and comic character in the musical whodunit "Curtains."
  • E. Susan Anspach
    Susan Anspach was an American actress best known for her roles in influential 1970s films such as "Five Easy Pieces" and "Blume in Love," where she often portrayed complex, independent women.
  • 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: Marya Mannes
Triple: [Manning, hasNotableBearer, Marya Mannes]
Generated description
Marya Mannes was an American writer, critic, and social commentator known for her sharp wit and incisive observations on mid-20th-century culture and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marya Mannes
Target entity description: Marya Mannes was an American writer, critic, and social commentator known for her sharp wit and incisive observations on mid-20th-century culture and politics.
  • A. Marianne Ehrlich
    Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
  • B. Margaret Shenberg
    Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
  • C. Carol Mendelsohn
    Carol Mendelsohn is an American television producer and writer best known for her influential work shaping the CSI franchise and modern crime procedural dramas.
  • D. Carmen Bernstein
    Carmen Bernstein is a sharp-tongued, no-nonsense theater producer and comic character in the musical whodunit "Curtains."
  • E. Susan Anspach
    Susan Anspach was an American actress best known for her roles in influential 1970s films such as "Five Easy Pieces" and "Blume in Love," where she often portrayed complex, independent women.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4ff2ca9081908ccc88651640ed84 completed April 1, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100d000a081909964736e8a7418ba completed April 4, 2026, 12:15 p.m.
NEDg Description generation batch_69d101678e7c8190b94930137d400645 completed April 4, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69d10222bd7c8190bf4f2c3a2095413f completed April 4, 2026, 12:20 p.m.
Created at: March 30, 2026, 7:42 p.m.