Triple

T14528697
Position Surface form Disambiguated ID Type / Status
Subject The Titan E340845 entity
Predicate character P662 FINISHED
Object Berenice Fleming
Berenice Fleming is a fictional character from the science fiction novel "The Titan."
E1148245 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: Berenice Fleming | Statement: [The Titan, character, Berenice Fleming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berenice Fleming
Context triple: [The Titan, character, Berenice Fleming]
  • A. Florence Williamson
    Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
  • B. Florence McFadden
    Florence McFadden was the wife of American actor and vaudevillian Jack Haley, best known for his role as the Tin Man in the classic film "The Wizard of Oz."
  • C. Olive Latham
    "Olive Latham" is a lesser-known novel by Ethel Lilian Voynich, the author of the famous revolutionary novel "The Gadfly."
  • D. Leonora Rogers
    Leonora Rogers was the wife of Austrian-American actor Joseph Schildkraut, known for her marriage to the prominent stage and film performer.
  • E. Berenice Sadie Brown
    Berenice Sadie Brown is a central, sharp-tongued yet deeply compassionate African American housekeeper and surrogate mother figure in Carson McCullers’ novel "The Member of the Wedding."
  • 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: Berenice Fleming
Triple: [The Titan, character, Berenice Fleming]
Generated description
Berenice Fleming is a fictional character from the science fiction novel "The Titan."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Berenice Fleming
Target entity description: Berenice Fleming is a fictional character from the science fiction novel "The Titan."
  • A. Florence Williamson
    Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
  • B. Florence McFadden
    Florence McFadden was the wife of American actor and vaudevillian Jack Haley, best known for his role as the Tin Man in the classic film "The Wizard of Oz."
  • C. Olive Latham
    "Olive Latham" is a lesser-known novel by Ethel Lilian Voynich, the author of the famous revolutionary novel "The Gadfly."
  • D. Leonora Rogers
    Leonora Rogers was the wife of Austrian-American actor Joseph Schildkraut, known for her marriage to the prominent stage and film performer.
  • E. Berenice Sadie Brown
    Berenice Sadie Brown is a central, sharp-tongued yet deeply compassionate African American housekeeper and surrogate mother figure in Carson McCullers’ novel "The Member of the Wedding."
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea051bc608190ad4d516c5e7bca43 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5c11708190a7fd4c0682b6ed81 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef09f396481908c081a41a5e35cd3 completed May 9, 2026, 8:30 a.m.
NED2 Entity disambiguation (via description) batch_69fef133d310819087424d794dae0074 completed May 9, 2026, 8:32 a.m.
Created at: April 10, 2026, 1:22 a.m.