Triple

T5485960
Position Surface form Disambiguated ID Type / Status
Subject The House that Freddy Built E123580 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Freddy Krueger E522707 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: Freddy Krueger | Statement: [The House that Freddy Built, associatedWithCharacter, Freddy Krueger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freddy Krueger
Context triple: [The House that Freddy Built, associatedWithCharacter, Freddy Krueger]
  • A. Freddy Krueger chosen
    Freddy Krueger is a fictional supernatural serial killer known for haunting and murdering teenagers in their dreams, recognizable by his burned face, bladed glove, and striped sweater.
  • B. Michael Myers
    Michael Myers is the iconic masked serial killer from the "Halloween" horror film franchise.
  • C. Gretchen Krueger
    Gretchen Krueger is a researcher and author known for her work on CLIP, a multimodal AI model that connects images and text.
  • D. Freddy
    Freddy is a common diminutive or nickname for the given name Alfred.
  • E. Freddy
    Freddy is a central character in Steve Martin’s absurdist stage play "Picasso at the Lapin Agile," typically portrayed as the bartender who observes and comments on the surreal meeting of Picasso and Einstein.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92625a50819088133641ed6f25a9 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c812d4c8190a22f76b787ab0f10 completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:10 p.m.