Triple

T15384930
Position Surface form Disambiguated ID Type / Status
Subject Solid Snake E367892 entity
Predicate family P566 FINISHED
Object Big Boss E792658 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: Big Boss | Statement: [Solid Snake, family, Big Boss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Boss
Context triple: [Solid Snake, family, Big Boss]
  • A. Big Boss chosen
    Big Boss is a central character and legendary soldier in the Metal Gear video game series, known as the complex mentor-turned-antagonist figure behind many of the series’ events.
  • B. The Boss
    The Boss is the nickname of Rick Ross, an American rapper and music executive known for his deep voice, luxurious themes, and influential role in Southern hip-hop.
  • C. The Boss
    The Boss is the popular nickname of Al Sadd SC, one of Qatar’s most successful and dominant football clubs.
  • D. The Boss
    The Boss is a powerful and feared crime lord in the film "Lucky Number Slevin," serving as one of the central antagonists who drives the story’s underworld conflict.
  • E. The Boss
    The Boss is a 2016 American comedy film starring Melissa McCarthy as a disgraced business mogul trying to rebuild her empire through a Girl Scout-style brownie venture.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e74ff70819094c1a85f51d6e228 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1349bad48190a31c50a0c5104128 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.