Triple

T14476829
Position Surface form Disambiguated ID Type / Status
Subject What Where E358994 entity
Predicate featuresCharacter P626 FINISHED
Object Bom E963728 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: Bom | Statement: [What Where, featuresCharacter, Bom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bom
Context triple: [What Where, featuresCharacter, Bom]
  • A. Bombo
    Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
  • B. Bomba
    Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
  • C. Bum
    Bum is the nickname of Bum Phillips, the colorful and beloved former NFL head coach best known for leading the Houston Oilers in the 1970s.
  • D. Bombe
    The Bombe was an electromechanical device developed by Allied cryptanalysts during World War II to help decipher encrypted German messages, particularly those encoded by the Enigma machine.
  • E. bom chosen
    bom is the ISO 639-3 language code for Berom, a Plateau language spoken primarily in central Nigeria.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9248edb48190a74eb032aeaac027 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a0553081909fd88d8f39ed1a01 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.