Triple

T2422449
Position Surface form Disambiguated ID Type / Status
Subject Sheridan Le Fanu E53447 entity
Predicate spouse P13 FINISHED
Object Susanna Bennett
Susanna Bennett was the wife of Irish Gothic writer Sheridan Le Fanu, known primarily through her marriage to the influential Victorian author.
E265105 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: Susanna Bennett | Statement: [Sheridan Le Fanu, spouse, Susanna Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susanna Bennett
Context triple: [Sheridan Le Fanu, spouse, Susanna Bennett]
  • A. Naomi Novik
    Naomi Novik is an American fantasy author best known for her Temeraire series and the award-winning novels Uprooted and Spinning Silver.
  • B. Christianna Brand
    Christianna Brand was a British crime and children's author best known for her "Nurse Matilda" stories, which inspired the film "Nanny McPhee."
  • C. Carol Abrams
    Carol Abrams was an American television and film producer and the mother of filmmaker J. J. Abrams.
  • D. Jane Nugent
    Jane Nugent was the wife of influential Irish statesman and political philosopher Edmund Burke, known primarily through her association with his life and career.
  • E. Amelia Kuttner
    Amelia Kuttner is a key character in the neo-noir action-comedy film "The Nice Guys," whose disappearance drives the movie’s central investigation.
  • 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: Susanna Bennett
Triple: [Sheridan Le Fanu, spouse, Susanna Bennett]
Generated description
Susanna Bennett was the wife of Irish Gothic writer Sheridan Le Fanu, known primarily through her marriage to the influential Victorian author.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susanna Bennett
Target entity description: Susanna Bennett was the wife of Irish Gothic writer Sheridan Le Fanu, known primarily through her marriage to the influential Victorian author.
  • A. Naomi Novik
    Naomi Novik is an American fantasy author best known for her Temeraire series and the award-winning novels Uprooted and Spinning Silver.
  • B. Christianna Brand
    Christianna Brand was a British crime and children's author best known for her "Nurse Matilda" stories, which inspired the film "Nanny McPhee."
  • C. Carol Abrams
    Carol Abrams was an American television and film producer and the mother of filmmaker J. J. Abrams.
  • D. Jane Nugent
    Jane Nugent was the wife of influential Irish statesman and political philosopher Edmund Burke, known primarily through her association with his life and career.
  • E. Amelia Kuttner
    Amelia Kuttner is a key character in the neo-noir action-comedy film "The Nice Guys," whose disappearance drives the movie’s central investigation.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc971093481909c8924d58187860c completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf5b1bb8819095920d702c180d3f completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec338adf481908492b99d6e949bf8 completed March 9, 2026, 12:55 p.m.
NED2 Entity disambiguation (via description) batch_69aec3d410048190b908e883442b4ac2 completed March 9, 2026, 12:57 p.m.
Created at: March 6, 2026, 9:42 p.m.