Triple

T16035017
Position Surface form Disambiguated ID Type / Status
Subject Slim E388948 entity
Predicate contrastsWith P278 FINISHED
Object Curley E388946 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: Curley | Statement: [Slim, contrastsWith, Curley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curley
Context triple: [Slim, contrastsWith, Curley]
  • A. Curley chosen
    Curley is the aggressive, insecure son of the ranch boss in John Steinbeck’s novel "Of Mice and Men," known for his confrontational behavior and pivotal role in the story’s conflict.
  • B. Curley Russell
    Curley Russell was an American jazz double bassist known for his work in the bebop era alongside leading figures such as Charlie Parker and Dizzy Gillespie.
  • C. John Curly
    John Curly is a technology executive best known as a co-founder of EMC Corporation, a major data storage and information management company.
  • D. Lennie Small
    Lennie Small is a large, mentally disabled migrant ranch worker whose childlike innocence and unintentional violence drive the central tragedy of John Steinbeck’s novella "Of Mice and Men."
  • E. Clyde
    Clyde is a historic small town in Central Otago, New Zealand, known for its gold rush heritage and proximity to the Clyde Dam and popular cycling trails.
  • 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_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_69fff295a0e08190b80d363f0a48094a completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:56 a.m.