Triple

T16034961
Position Surface form Disambiguated ID Type / Status
Subject Curley’s wife E388947 entity
Predicate interactsWith P3970 FINISHED
Object Candy
Candy is an aging ranch handyman in John Steinbeck’s novel "Of Mice and Men," known for his lost hand, his old dog, and his desperate hope to join George and Lennie’s dream of owning a farm.
 E1191477 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: Candy | Statement: [Curley’s wife, interactsWith, Candy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Candy
Context triple: [Curley’s wife, interactsWith, Candy]
  • A. Candy
    Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
  • B. Candy
    "Candy" is a song by the band Broken Silence.
  • C. Candy
    "Candy" is a 1968 satirical comedy film, loosely based on Voltaire’s "Candide," known for its psychedelic style and ensemble cast including Anita Pallenberg, Marlon Brando, and Ringo Starr.
  • D. Candy
    Candy is a fictional character who appears in the setting known as Candy's Room.
  • E. Candy
    Candy is one of the reckless, party-obsessed college girls at the center of the crime drama film "Spring Breakers," portrayed by Vanessa Hudgens.
  • 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: Candy
Triple: [Curley’s wife, interactsWith, Candy]
Generated description
Candy is an aging ranch handyman in John Steinbeck’s novel "Of Mice and Men," known for his lost hand, his old dog, and his desperate hope to join George and Lennie’s dream of owning a farm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Candy
Target entity description: Candy is an aging ranch handyman in John Steinbeck’s novel "Of Mice and Men," known for his lost hand, his old dog, and his desperate hope to join George and Lennie’s dream of owning a farm.
  • A. Candy
    Candy is a fictional character who appears in the setting known as Candy's Room.
  • B. Candy
    "Candy" is a 1968 satirical comedy film, loosely based on Voltaire’s "Candide," known for its psychedelic style and ensemble cast including Anita Pallenberg, Marlon Brando, and Ringo Starr.
  • C. Candy
    "Candy" is a true-crime drama miniseries centered on Texas housewife Candy Montgomery, who was accused of a brutal axe murder in 1980.
  • D. Candy
    Candy is one of the reckless, party-obsessed college girls at the center of the crime drama film "Spring Breakers," portrayed by Vanessa Hudgens.
  • E. Candy
    Candy is a 2006 Australian romantic drama film about a destructive heroin-fueled relationship, starring Heath Ledger and Abbie Cornish and based on Luke Davies' semi-autobiographical novel.
  • F. None of above. chosen

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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833b84608190887dafda5d081dc0 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd1cafc81909125174eed475d55 completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffdd3c77908190b55c926445724348 completed May 10, 2026, 1:19 a.m.
NED2 Entity disambiguation (via description) batch_69ffddfdd3a48190a16dab4d458dc475 completed May 10, 2026, 1:23 a.m.
Created at: April 10, 2026, 4:56 a.m.