Triple

T13691481
Position Surface form Disambiguated ID Type / Status
Subject The Wide Net and Other Stories E328276 entity
Predicate hasPart P35 FINISHED
Object Livvie
"Livvie" is a short story by Eudora Welty that explores themes of love, freedom, and self-discovery in the rural American South.
 E1054298 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: Livvie | Statement: [The Wide Net and Other Stories, hasPart, Livvie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Livvie
Context triple: [The Wide Net and Other Stories, hasPart, Livvie]
  • A. Livvy
    Livvy is a common affectionate nickname for the given name Olive.
  • B. Lila
    Lila is the daughter of French actress Virginie Ledoyen.
  • C. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • D. Lila
    Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
  • E. Lila
    Lila is a character from the Peanuts universe who appears in the animated film "Snoopy, Come Home" as Snoopy’s original owner.
  • 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: Livvie
Triple: [The Wide Net and Other Stories, hasPart, Livvie]
Generated description
"Livvie" is a short story by Eudora Welty that explores themes of love, freedom, and self-discovery in the rural American South.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Livvie
Target entity description: "Livvie" is a short story by Eudora Welty that explores themes of love, freedom, and self-discovery in the rural American South.
  • A. Livvy
    Livvy is a common affectionate nickname for the given name Olive.
  • B. Lila
    Lila is the daughter of French actress Virginie Ledoyen.
  • C. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • D. Lila
    Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
  • E. Lila
    Lila is a character from the Peanuts universe who appears in the animated film "Snoopy, Come Home" as Snoopy’s original owner.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8746458819095ec1ba3c01ef31b completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944e7ea0819098a9fbf8842d314b completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79715571081909c1177a3fd09b4d5 completed May 3, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_69f797caabfc8190844e6b7d8125aeb6 completed May 3, 2026, 6:45 p.m.
Created at: April 9, 2026, 9:53 p.m.