Triple

T22768018
Position Surface form Disambiguated ID Type / Status
Subject Hardcore E563178 entity
Predicate starring P1507 FINISHED
Object Leonard Gaines — NE NERFINISHED

How this triple was built (3 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: Leonard Gaines | Statement: [Hardcore, starring, Leonard Gaines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leonard Gaines
Context triple: [Hardcore, starring, Leonard Gaines]
  • A. Louis Gaines
    Louis Gaines is a fictional character in the film "The Butler," portrayed as the politically active son of White House butler Cecil Gaines, whose civil rights activism contrasts with his father's more reserved approach to racial injustice.
  • B. Leonard Johnson
    Leonard Johnson is an American former NFL cornerback who played for multiple teams after entering the league as an undrafted free agent.
  • C. Leonard Simms
    Leonard Simms is a fellow patient at the Santa Rosa Mental Health Institute in the TV series "Lost," known for repeatedly muttering the numbers that later become Hurley Reyes' cursed lottery numbers.
  • D. Leonard Covington
    Leonard Covington was an early 19th-century American military officer and politician who served as a U.S. Congressman and brigadier general in the War of 1812.
  • E. Earl Lovelace
    Earl Lovelace is a Trinidadian novelist and playwright renowned for his vivid portrayals of Caribbean life, culture, and postcolonial society.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leonard Gaines
Target entity description: Leonard Gaines was an American actor known for his roles in mid-20th-century film and television productions.
  • A. Louis Gaines
    Louis Gaines is a fictional character in the film "The Butler," portrayed as the politically active son of White House butler Cecil Gaines, whose civil rights activism contrasts with his father's more reserved approach to racial injustice.
  • B. Leonard Johnson
    Leonard Johnson is an American former NFL cornerback who played for multiple teams after entering the league as an undrafted free agent.
  • C. Leonard Simms
    Leonard Simms is a fellow patient at the Santa Rosa Mental Health Institute in the TV series "Lost," known for repeatedly muttering the numbers that later become Hurley Reyes' cursed lottery numbers.
  • D. Leonard Covington
    Leonard Covington was an early 19th-century American military officer and politician who served as a U.S. Congressman and brigadier general in the War of 1812.
  • E. Earl Lovelace
    Earl Lovelace is a Trinidadian novelist and playwright renowned for his vivid portrayals of Caribbean life, culture, and postcolonial society.
  • F. None of above. chosen

Provenance (2 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a81d3348190b005a43a5e03d406 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:27 p.m.