Triple

T17193801
Position Surface form Disambiguated ID Type / Status
Subject 2e DB E417292 entity
Predicate predecessor P97 FINISHED
Object Force L
Force L is a later-generation Japanese arcade shoot-'em-up game in the "2e DB" series, known for its fast-paced action and challenging bullet-hell gameplay.
E1255153 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: Force L | Statement: [2e DB, predecessor, Force L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Force L
Context triple: [2e DB, predecessor, Force L]
  • A. Force G
    Force G was a British Royal Navy task force that operated in the South Atlantic during World War II, notably involved in hunting German surface raiders.
  • B. Force H
    Force H was a British Royal Navy task force based at Gibraltar during World War II, known for its key role in Mediterranean and Atlantic naval operations.
  • C. S Force
    S Force was one of the sector-based guerrilla formations of the Mukti Bahini that fought in the Bangladesh Liberation War of 1971.
  • D. E for Everyone
    E for Everyone is an ESRB content rating indicating that a video game is generally suitable for players of all ages.
  • E. Major Force
    Major Force is a violent and sadistic DC Comics supervillain, often depicted as a powerful government-created metahuman and a recurring nemesis of Green Lanterns.
  • 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: Force L
Triple: [2e DB, predecessor, Force L]
Generated description
Force L is a later-generation Japanese arcade shoot-'em-up game in the "2e DB" series, known for its fast-paced action and challenging bullet-hell gameplay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Force L
Target entity description: Force L is a later-generation Japanese arcade shoot-'em-up game in the "2e DB" series, known for its fast-paced action and challenging bullet-hell gameplay.
  • A. Force G
    Force G was a British Royal Navy task force that operated in the South Atlantic during World War II, notably involved in hunting German surface raiders.
  • B. Force H
    Force H was a British Royal Navy task force based at Gibraltar during World War II, known for its key role in Mediterranean and Atlantic naval operations.
  • C. S Force
    S Force was one of the sector-based guerrilla formations of the Mukti Bahini that fought in the Bangladesh Liberation War of 1971.
  • D. E for Everyone
    E for Everyone is an ESRB content rating indicating that a video game is generally suitable for players of all ages.
  • E. Major Force
    Major Force is a violent and sadistic DC Comics supervillain, often depicted as a powerful government-created metahuman and a recurring nemesis of Green Lanterns.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42da93bf88190b60b658087779d36 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fd5f834819080ad2a2ffdc017b6 completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a0160ce18e88190af8e3a7dfc17536a completed May 11, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_6a016146ce14819091e3459d25ca19aa completed May 11, 2026, 4:55 a.m.
Created at: April 10, 2026, 5:38 a.m.