Triple

T22090768
Position Surface form Disambiguated ID Type / Status
Subject Sonny Burch (Ant-Man and the Wasp) E545905 entity
Predicate interrogates P21180 FINISHED
Object Luis
Luis is a fast-talking, comedic ex-con and close friend of Scott Lang who becomes a key member of his heist and superhero team in the Ant-Man films.
E348349 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: Luis | Statement: [Sonny Burch (Ant-Man and the Wasp), interrogates, Luis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luis
Context triple: [Sonny Burch (Ant-Man and the Wasp), interrogates, Luis]
  • A. Luis
    Luis de Velasco y Aragón was a Spanish nobleman and colonial administrator who served as Viceroy of New Spain and later of Peru in the late 17th and early 18th centuries.
  • B. Luis
    Luis is a common Spanish given name derived from the Germanic name Ludwig, widely used across Spanish-speaking countries.
  • C. Luis
    Luis is a friendly human character on Sesame Street who often interacts warmly with Big Bird and the other residents of the neighborhood.
  • D. Luis
    Luis is the given name of Luis Carrero Blanco, a prominent Spanish admiral and statesman who served as Prime Minister under Francisco Franco.
  • E. Luis
    Luis is the given name of Luis de Unzaga y Amézaga, an 18th-century Spanish colonial administrator and governor in North America.
  • 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: Luis
Triple: [Sonny Burch (Ant-Man and the Wasp), interrogates, Luis]
Generated description
Luis is a fast-talking, comedic ex-con and close friend of Scott Lang who becomes a key member of his heist and superhero team in the Ant-Man films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luis
Target entity description: Luis is a fast-talking, comedic ex-con and close friend of Scott Lang who becomes a key member of his heist and superhero team in the Ant-Man films.
  • A. Luis chosen
    Luis is a comedic supporting character in the Marvel Cinematic Universe, best known as Scott Lang’s fast-talking friend and former cellmate in the Ant-Man films.
  • B. Luis
    Luis is a friendly human character on Sesame Street who often interacts warmly with Big Bird and the other residents of the neighborhood.
  • C. Luis
    Luis van Rooten was a Panamanian-born American character actor and voice artist known for his work in mid-20th-century film, radio, and television.
  • D. Luis
    Luis is a common Spanish given name derived from the Germanic name Ludwig, widely used across Spanish-speaking countries.
  • E. Luis
    Luis is the Spanish given name of Louis I of Spain, an 18th-century Bourbon king who briefly ruled the country.
  • F. None of above.

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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e53dfc81909858cdad8b09c5fb completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f117f7c8190b34b3bd32eb0e97d completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a90ca49c48190b01c88ae7e841cb4 completed May 18, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0a915bd5748190afc5a5a6e9398564 completed May 18, 2026, 4:11 a.m.
Created at: April 16, 2026, 8:29 p.m.