Triple

T4168590
Position Surface form Disambiguated ID Type / Status
Subject Ms. Jackson E84503 entity
Predicate writer P1360 FINISHED
Object Carl Mo
Carl Mo is an author known for works written by Ms. Jackson.
 E416763 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: Carl Mo | Statement: [Ms. Jackson, writer, Carl Mo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carl Mo
Context triple: [Ms. Jackson, writer, Carl Mo]
  • A. Carl Erickson
    Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
  • B. Carl Hagen
    Carl Hagen is an American theoretical physicist known for his role in developing the mechanism that predicted the Higgs boson and for contributions to quantum field theory.
  • C. Carl Kress
    Carl Kress was an American film editor best known for his Academy Award-winning work on major Hollywood productions, including the disaster film "The Towering Inferno."
  • D. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • E. Karl Dane
    Karl Dane was a Danish-American silent film actor best known for his comic roles in 1920s Hollywood, particularly as part of the popular screen duo "Dane & Arthur."
  • 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: Carl Mo
Triple: [Ms. Jackson, writer, Carl Mo]
Generated description
Carl Mo is an author known for works written by Ms. Jackson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carl Mo
Target entity description: Carl Mo is an author known for works written by Ms. Jackson.
  • A. Carl Erickson
    Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
  • B. Carl Hagen
    Carl Hagen is an American theoretical physicist known for his role in developing the mechanism that predicted the Higgs boson and for contributions to quantum field theory.
  • C. Carl Kress
    Carl Kress was an American film editor best known for his Academy Award-winning work on major Hollywood productions, including the disaster film "The Towering Inferno."
  • D. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • E. Karl Dane
    Karl Dane was a Danish-American silent film actor best known for his comic roles in 1920s Hollywood, particularly as part of the popular screen duo "Dane & Arthur."
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c573788190a60ab3f83b07a6f6 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f4c2c988190959496cc0cc31cac completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b57fe89ed0819089d7e56568755b1c completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5805cb7e88190b2f6ed6a18de9319 completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:44 p.m.