Triple

T3860023
Position Surface form Disambiguated ID Type / Status
Subject Cannery Row E90111 entity
Predicate mainCharacter P1183 FINISHED
Object Hazel
Hazel is a simple, good-hearted drifter in John Steinbeck’s novel "Cannery Row," known for his loyalty, comic misunderstandings, and unexpected moments of insight.
 E394538 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: Hazel | Statement: [Cannery Row, mainCharacter, Hazel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hazel
Context triple: [Cannery Row, mainCharacter, Hazel]
  • A. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • B. Hazel Tyler
    Hazel Tyler is the mother of Vince Tyler, a character in the British television series "Queer as Folk."
  • C. Zoe
    Zoe is a feminine given name of Greek origin meaning "life," commonly used in many English-speaking and European countries.
  • D. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • E. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • 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: Hazel
Triple: [Cannery Row, mainCharacter, Hazel]
Generated description
Hazel is a simple, good-hearted drifter in John Steinbeck’s novel "Cannery Row," known for his loyalty, comic misunderstandings, and unexpected moments of insight.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hazel
Target entity description: Hazel is a simple, good-hearted drifter in John Steinbeck’s novel "Cannery Row," known for his loyalty, comic misunderstandings, and unexpected moments of insight.
  • A. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • B. Hazel Tyler
    Hazel Tyler is the mother of Vince Tyler, a character in the British television series "Queer as Folk."
  • C. Zoe
    Zoe is a feminine given name of Greek origin meaning "life," commonly used in many English-speaking and European countries.
  • D. Harper
    Harper is a small community located in Raleigh County, West Virginia, in the United States.
  • E. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1ff39c8190b83a88abd840a0e3 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512348fe88190b5ae942809732b76 completed March 14, 2026, 7:45 a.m.
NEDg Description generation batch_69b513013db481908f8fb5f56470c0d0 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5137200a08190bd2a78398e03803e completed March 14, 2026, 7:51 a.m.
Created at: March 9, 2026, 3:19 p.m.