Triple

T10833734
Position Surface form Disambiguated ID Type / Status
Subject Jeff Danna E255691 entity
Predicate notableWork P4 FINISHED
Object Boon E681223 NE FINISHED

How this triple was built (2 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: Boon | Statement: [Jeff Danna, notableWork, Boon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boon
Context triple: [Jeff Danna, notableWork, Boon]
  • A. Boon chosen
    Boon is a British television drama series that follows an ex-fireman turned freelance troubleshooter working in the Midlands.
  • B. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • C. Boz
    Boz is the stage name of American singer, songwriter, and guitarist Boz Scaggs, known for his blend of rock, blues, and soul music.
  • D. Boe
    Boe is a city in Guinea-Bissau known as the site where the Boé Declaration on Regional Security was adopted.
  • E. Boebe
    Boebe was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources and associated with nearby Lake Boebeis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7442439dc8190af59f9c8d0637c01 completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69de85aa5ea88190ab6399e46eba5c49 completed April 14, 2026, 6:21 p.m.
Created at: April 8, 2026, 9:19 p.m.