Triple

T16008473
Position Surface form Disambiguated ID Type / Status
Subject Glen Powell E388277 entity
Predicate givenName P17 FINISHED
Object Glen E482555 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: [Glen Powell, givenName, Glen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glen
Context triple: [Glen Powell, givenName, Glen]
  • A. Glen
    Glen is the androgynous, conflicted child of killer dolls Chucky and Tiffany in the horror-comedy film "Seed of Chucky."
  • B. Glen chosen
    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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15800e3608190bd3e1123ccc6c326 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf22db3481909141ddef151d0341 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.