Triple

T17227256
Position Surface form Disambiguated ID Type / Status
Subject Anne Bennett Prize E418147 entity
Predicate namedAfter P63 FINISHED
Object Anne Bennett
Anne Bennett is a mathematician after whom the Anne Bennett Prize is named, recognizing her contributions to the field.
 E1314932 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: Anne Bennett | Statement: [Anne Bennett Prize, namedAfter, Anne Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anne Bennett
Context triple: [Anne Bennett Prize, namedAfter, Anne Bennett]
  • A. Grace Bennett
    Grace Bennett is the protagonist of the novel "Passions," around whom the story’s central emotional and dramatic conflicts revolve.
  • B. Joanna Bennett
    Joanna Bennett is a private individual known primarily through her family connection by marriage to Susan Crow.
  • C. Enid Bennett
    Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
  • D. Ann Barrett
    Ann Barrett is a central character in the horror novel and film "The Legend of Hell House," known for her involvement in the investigation of the notoriously haunted Belasco House.
  • E. Emily Burton
    Emily Burton was the wife of English poet and playwright Gordon Bottomley, known primarily in relation to his personal life and correspondence.
  • 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: Anne Bennett
Triple: [Anne Bennett Prize, namedAfter, Anne Bennett]
Generated description
Anne Bennett is a mathematician after whom the Anne Bennett Prize is named, recognizing her contributions to the field.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anne Bennett
Target entity description: Anne Bennett is a mathematician after whom the Anne Bennett Prize is named, recognizing her contributions to the field.
  • A. Grace Bennett
    Grace Bennett is the protagonist of the novel "Passions," around whom the story’s central emotional and dramatic conflicts revolve.
  • B. Joanna Bennett
    Joanna Bennett is a private individual known primarily through her family connection by marriage to Susan Crow.
  • C. Enid Bennett
    Enid Bennett was an Australian-born silent film actress who became a popular leading lady in early Hollywood cinema.
  • D. Ann Barrett
    Ann Barrett is a central character in the horror novel and film "The Legend of Hell House," known for her involvement in the investigation of the notoriously haunted Belasco House.
  • E. Emily Burton
    Emily Burton was the wife of English poet and playwright Gordon Bottomley, known primarily in relation to his personal life and correspondence.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42de239a08190936a1d635b0b1b87 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3dc7df08190a6c3a2d15f733b52 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b4e282b88190a572e46468a9119f completed May 12, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a03b58052a48190b4e6afb5098c3e51 completed May 12, 2026, 11:19 p.m.
Created at: April 10, 2026, 5:39 a.m.