Triple

T8579887
Position Surface form Disambiguated ID Type / Status
Subject Critters 2: The Main Course E203142 entity
Predicate hasCharacter P2308 FINISHED
Object Harv
Harv is a supporting character in the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
E743358 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: Harv | Statement: [Critters 2: The Main Course, hasCharacter, Harv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harv
Context triple: [Critters 2: The Main Course, hasCharacter, Harv]
  • A. HARV
    HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
  • B. Harries
    Harries is a surname and variant of Harris, borne by various notable individuals across fields such as sports, academia, and the arts.
  • C. Havins
    Havins is a surname most notably associated with American actress Alexa Havins.
  • D. Harmon
    Harmon is the maiden surname of Ellen G. White, a co-founder and prophetic figure of the Seventh-day Adventist Church.
  • E. Harmon
    Harmon was the original name of the railway station now known as Croton–Harmon, a major commuter and intercity rail hub in New York's Hudson Valley.
  • 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: Harv
Triple: [Critters 2: The Main Course, hasCharacter, Harv]
Generated description
Harv is a supporting character in the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harv
Target entity description: Harv is a supporting character in the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
  • A. HARV
    HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
  • B. Harries
    Harries is a surname and variant of Harris, borne by various notable individuals across fields such as sports, academia, and the arts.
  • C. Havins
    Havins is a surname most notably associated with American actress Alexa Havins.
  • D. Harmon
    Harmon is the maiden surname of Ellen G. White, a co-founder and prophetic figure of the Seventh-day Adventist Church.
  • E. Harmon
    Harmon was the original name of the railway station now known as Croton–Harmon, a major commuter and intercity rail hub in New York's Hudson Valley.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea9a0708819084cb8b8d84017864 completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89ae87f08190b83bc539e1d4eeaa completed April 2, 2026, 3:22 p.m.
NEDg Description generation batch_69ce8d6ce1788190bab10eb05d3ccd2e completed April 2, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69ce8e0ea1608190af74d0e49f149454 completed April 2, 2026, 3:41 p.m.
Created at: March 30, 2026, 6:22 p.m.