Triple

T14283795
Position Surface form Disambiguated ID Type / Status
Subject Chucky E354115 entity
Predicate child P120 FINISHED
Object Glen E847418 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: Glen | Statement: [Chucky, child, Glen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glen
Context triple: [Chucky, child, Glen]
  • A. Glen chosen
    Glen is the androgynous, conflicted child of killer dolls Chucky and Tiffany in the horror-comedy film "Seed of Chucky."
  • B. Glen
    Glen is a masculine given name of Scottish origin meaning "valley," commonly used in English-speaking countries.
  • C. Glen
    Glen is a fictional character from Jake Arnott’s crime novel "The Long Firm," which explores the London underworld of the 1960s.
  • D. Glenaan
    Glenaan is one of the scenic Glens of Antrim in County Antrim, Northern Ireland, known for its rural landscapes and traditional Irish countryside character.
  • E. Glen Shira
    Glen Shira is a scenic glen in Argyll, Scotland, known for its rugged Highland landscape and historical associations with Clan MacNaughton and nearby Inveraray.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697d9fd08190b0cd7a6a6737ba03 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1a6d8081908e857143c0c809c0 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:10 a.m.