Triple

T662919
Position Surface form Disambiguated ID Type / Status
Subject Aunt Polly E11795 entity
Predicate caresFor P636 FINISHED
Object Sid E69949 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: Sid | Statement: [Aunt Polly, caresFor, Sid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sid
Context triple: [Aunt Polly, caresFor, Sid]
  • A. Sid chosen
    Sid is a minor character in Mark Twain's novel "The Adventures of Tom Sawyer," known as Tom's well-behaved, tattletale half-brother who often contrasts Tom's mischievous nature.
  • B. Sam
    Sam is a person whose given name is Sam.
  • C. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • D. Simon
    Simon is the given name of Simon Bolivar Buckner Jr., a U.S. Army lieutenant general who was killed in action while commanding forces during the Battle of Okinawa in World War II.
  • E. Nick
    Nick is the given name of Nick Holonyak Jr., the American engineer and inventor widely known for creating the first practical visible-spectrum LED.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a517ac148190aa032b77885bf709 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d8f4a908190bc4cf5e1a6e46628 completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:36 p.m.