Triple

T15632249
Position Surface form Disambiguated ID Type / Status
Subject Ghost World E375843 entity
Predicate character P662 FINISHED
Object Seymour
Seymour is a socially awkward, middle-aged record collector who becomes a central figure in the coming-of-age graphic novel and film "Ghost World."
 E1168007 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: Seymour | Statement: [Ghost World, character, Seymour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seymour
Context triple: [Ghost World, character, Seymour]
  • A. Seymour
    Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
  • B. Seymour
    Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
  • C. Seymour
    Seymour is a regional town in central Victoria, Australia, known as a key agricultural and transport hub on the route between Melbourne and Sydney.
  • D. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • E. Seymour
    Seymour is an English surname historically associated with a prominent noble family in Tudor England.
  • 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: Seymour
Triple: [Ghost World, character, Seymour]
Generated description
Seymour is a socially awkward, middle-aged record collector who becomes a central figure in the coming-of-age graphic novel and film "Ghost World."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seymour
Target entity description: Seymour is a socially awkward, middle-aged record collector who becomes a central figure in the coming-of-age graphic novel and film "Ghost World."
  • A. Seymour
    Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
  • B. Seymour
    Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
  • C. Seymour
    Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
  • D. Seymour
    Seymour is a regional town in central Victoria, Australia, known as a key agricultural and transport hub on the route between Melbourne and Sydney.
  • E. Seymour
    Seymour is an English surname historically associated with a prominent noble family in Tudor England.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f472b648190b7cd532a1b16373e completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff606f627081909e6ea230f30c917b completed May 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69ff6136a8c88190a83ad9232a338082 completed May 9, 2026, 4:30 p.m.
Created at: April 10, 2026, 4:14 a.m.