Triple

T15024969
Position Surface form Disambiguated ID Type / Status
Subject Susanna Thompson E378185 entity
Predicate notableWork P4 FINISHED
Object Little Giants E582862 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: Little Giants | Statement: [Susanna Thompson, notableWork, Little Giants]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Giants
Context triple: [Susanna Thompson, notableWork, Little Giants]
  • A. Little Giants chosen
    Little Giants is a 1994 family sports comedy film about a misfit youth football team that challenges a powerhouse squad in a small-town rivalry.
  • B. Little Giants
    Little Giants is the nickname and mascot of Wabash College’s athletic teams, symbolizing the school’s competitive spirit despite its small size.
  • C. Little Giant
    "Little Giant" was the famous nickname of Stephen A. Douglas, a prominent 19th-century American politician known for his influential role in pre–Civil War debates and legislation.
  • D. Little Tyrants
    "Little Tyrants" is a song by the British progressive rock band Vital.
  • E. Little Heroes
    Little Heroes is a cyberpunk science fiction novel by Norman Spinrad that explores the commercialization of music and culture in a near-future, media-saturated society.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7de117c8190a1b9fa8d1602057e completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd499108190b803c6afc0fa00bc completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:56 a.m.