Triple

T1200140
Position Surface form Disambiguated ID Type / Status
Subject Boys Town E25760 entity
Predicate starring P1507 FINISHED
Object Henry Hull E160286 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: Henry Hull | Statement: [Boys Town, starring, Henry Hull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Hull
Context triple: [Boys Town, starring, Henry Hull]
  • A. Henry Hull chosen
    Henry Hull was an American character actor best known for his prolific work in early 20th-century stage and film, including notable roles in classic Hollywood productions.
  • B. Eddie Bracken
    Eddie Bracken was an American comedic actor known for his roles in 1940s and 1950s film comedies and Broadway productions.
  • C. Louis Calhern
    Louis Calhern was an American stage and film actor known for his sophisticated character roles in classic Hollywood cinema, including notable performances in films like "The Asphalt Jungle" and "Julius Caesar."
  • D. Sterling Hayden
    Sterling Hayden was an American actor and World War II hero known for his rugged film roles and his clandestine service as a Marine and OSS operative.
  • E. Vincent E. Price
    Vincent E. Price is an American political communication scholar and academic leader who serves as the president of Duke University.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9ec3488190afe35af54efae5e9 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad158eca208190b763da8cb9af1dcd completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 7:46 p.m.