Triple

T15389099
Position Surface form Disambiguated ID Type / Status
Subject The Alienist E367992 entity
Predicate mainCharacter P1183 FINISHED
Object Sara Howard
Sara Howard is a pioneering female secretary-turned-detective in 1890s New York City, featured prominently in Caleb Carr’s historical crime novel series "The Alienist."
 E1239699 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: Sara Howard | Statement: [The Alienist, mainCharacter, Sara Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sara Howard
Context triple: [The Alienist, mainCharacter, Sara Howard]
  • A. Sara Stewart
    Sara Stewart is a Scottish-born actress known for her work in British television, film, and theatre, including roles in series like "Doctor Foster" and "Sugar Rush."
  • B. Sara Kingsley
    Sara Kingsley is a central character in the television sitcom "Grandfathered," around whom key family and comedic storylines revolve.
  • C. Sara Potts
    Sara Potts is known as the sister of American actress and television personality Olivia Munn.
  • D. Sara Ellis
    Sara Ellis is a savvy insurance investigator and Neal Caffrey’s complex love interest in the television series "White Collar."
  • E. Sara Richardson
    Sara Richardson is a television producer best known for serving as an executive producer on the crime drama series NCIS: Sydney.
  • 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: Sara Howard
Triple: [The Alienist, mainCharacter, Sara Howard]
Generated description
Sara Howard is a pioneering female secretary-turned-detective in 1890s New York City, featured prominently in Caleb Carr’s historical crime novel series "The Alienist."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sara Howard
Target entity description: Sara Howard is a pioneering female secretary-turned-detective in 1890s New York City, featured prominently in Caleb Carr’s historical crime novel series "The Alienist."
  • A. Sara Stewart
    Sara Stewart is a Scottish-born actress known for her work in British television, film, and theatre, including roles in series like "Doctor Foster" and "Sugar Rush."
  • B. Sara Kingsley
    Sara Kingsley is a central character in the television sitcom "Grandfathered," around whom key family and comedic storylines revolve.
  • C. Sara Potts
    Sara Potts is known as the sister of American actress and television personality Olivia Munn.
  • D. Sara Ellis
    Sara Ellis is a savvy insurance investigator and Neal Caffrey’s complex love interest in the television series "White Collar."
  • E. Sara Richardson
    Sara Richardson is a television producer best known for serving as an executive producer on the crime drama series NCIS: Sydney.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e761b688190893a81246b735b76 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c78f36d88190a39f407c5d8dbc0d completed May 10, 2026, 5:59 p.m.
NEDg Description generation batch_6a00c92e692c8190baa328f94e979107 completed May 10, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_6a00c9d1c6a0819083635b8246cc82e7 completed May 10, 2026, 6:09 p.m.
Created at: April 10, 2026, 3:19 a.m.