Triple

T9695645
Position Surface form Disambiguated ID Type / Status
Subject Sokovia Accords E234641 entity
Predicate opposedBy P437 FINISHED
Object Scott Lang E234637 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: Scott Lang | Statement: [Sokovia Accords, opposedBy, Scott Lang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Lang
Context triple: [Sokovia Accords, opposedBy, Scott Lang]
  • A. Scott Lang chosen
    Scott Lang is the Marvel Cinematic Universe's Ant-Man, a former thief turned size-shifting superhero known for his humor, ingenuity, and role in the Avengers' battles.
  • B. Luis in Ant-Man
    Luis in Ant-Man is the fast-talking, comedic best friend and heist partner of Scott Lang, known for his hilariously long-winded storytelling.
  • C. Hawkeye
    Hawkeye is a Marvel Cinematic Universe Disney+ series centered on the archer superhero Clint Barton and his protégé Kate Bishop.
  • D. Hawkeye
    Hawkeye is the frontier scout and sharpshooter hero of James Fenimore Cooper’s Leatherstocking Tales, renowned for his wilderness skills and moral integrity.
  • E. Philip Holland
    Philip Holland was an 18th-century English Presbyterian minister and educator known for his influential teaching and theological work associated with Warrington Academy.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d366c488190bc153c68fef197c2 completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f7cecd0819081929611b7881102 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:17 p.m.