Triple

T7855116
Position Surface form Disambiguated ID Type / Status
Subject Joe Kapp E182155 entity
Predicate familyName P18 FINISHED
Object Kapp
Kapp is a surname most notably associated with Joe Kapp, a former professional football quarterback and coach.
E700097 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: Kapp | Statement: [Joe Kapp, familyName, Kapp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapp
Context triple: [Joe Kapp, familyName, Kapp]
  • A. Kapaa
    Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
  • B. Kaa
    Kaa is a giant, hypnotic python who serves as a dangerous and manipulative predator in Disney’s live-action adaptation of The Jungle Book.
  • C. Kasoa
    Kasoa is a rapidly growing urban town in southern Ghana that serves as a major residential and commercial hub on the outskirts of Accra.
  • D. Kapa
    Kapa is a small island in the Vavaʻu island group of the Kingdom of Tonga, known for its scenic South Pacific marine environment.
  • E. Kapsali
    Kapsali is a coastal village and harbor on the Greek island of Kythira, known for its scenic twin bays, beaches, and views of the island’s main town above.
  • 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: Kapp
Triple: [Joe Kapp, familyName, Kapp]
Generated description
Kapp is a surname most notably associated with Joe Kapp, a former professional football quarterback and coach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kapp
Target entity description: Kapp is a surname most notably associated with Joe Kapp, a former professional football quarterback and coach.
  • A. Kapaa
    Kapaa is a coastal town on the east side of Kauai, Hawaii, known for its beaches, resorts, and small-town atmosphere.
  • B. Kaa
    Kaa is a giant, hypnotic python who serves as a dangerous and manipulative predator in Disney’s live-action adaptation of The Jungle Book.
  • C. Kasoa
    Kasoa is a rapidly growing urban town in southern Ghana that serves as a major residential and commercial hub on the outskirts of Accra.
  • D. Kapa
    Kapa is a small island in the Vavaʻu island group of the Kingdom of Tonga, known for its scenic South Pacific marine environment.
  • E. Kapsali
    Kapsali is a coastal village and harbor on the Greek island of Kythira, known for its scenic twin bays, beaches, and views of the island’s main town above.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a74592c8190b42f298e3e33617b completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b27e9b081909a0574458ddf43b0 completed March 31, 2026, 5:27 a.m.
NEDg Description generation batch_69cb762eab0881909c5035b3086dfdd9 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb801cc0c8190864d28e199eb5e67 completed March 31, 2026, 12:03 p.m.
Created at: March 30, 2026, 4:51 p.m.