Triple

T13065407
Position Surface form Disambiguated ID Type / Status
Subject Fred Gipson E329308 entity
Predicate notableWork P4 FINISHED
Object Little Arliss
Little Arliss is a children's novel by Fred Gipson that continues the frontier adventures begun in Old Yeller, focusing on the spirited young boy Arliss Coates.
E1019107 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: Little Arliss | Statement: [Fred Gipson, notableWork, Little Arliss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Arliss
Context triple: [Fred Gipson, notableWork, Little Arliss]
  • A. 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.
  • B. 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.
  • C. Lila
    Lila is the daughter of French actress Virginie Ledoyen.
  • D. Arliss
    "Arliss" is an American comedy television series that satirically follows a ruthless sports agent navigating the business and ethical dilemmas of professional athletics.
  • E. Arley
    Arley is a small rural town located in Winston County in the U.S. state of Alabama.
  • 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: Little Arliss
Triple: [Fred Gipson, notableWork, Little Arliss]
Generated description
Little Arliss is a children's novel by Fred Gipson that continues the frontier adventures begun in Old Yeller, focusing on the spirited young boy Arliss Coates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Little Arliss
Target entity description: Little Arliss is a children's novel by Fred Gipson that continues the frontier adventures begun in Old Yeller, focusing on the spirited young boy Arliss Coates.
  • A. 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.
  • B. 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.
  • C. Lila
    Lila is the daughter of French actress Virginie Ledoyen.
  • D. Lila
    Lila is a character from the Peanuts universe who appears in the animated film "Snoopy, Come Home" as Snoopy’s original owner.
  • E. Arliss
    "Arliss" is an American comedy television series that satirically follows a ruthless sports agent navigating the business and ethical dilemmas of professional athletics.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980eb81948190b27eb9ae19978079 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe630808190a9a3481127bbaa86 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6d039254881909927b58225f194de completed May 3, 2026, 4:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6d0d218d4819080273a151a0890d3 completed May 3, 2026, 4:36 a.m.
Created at: April 9, 2026, 8:59 p.m.