Triple

T3630369
Position Surface form Disambiguated ID Type / Status
Subject Kicking & Screaming E76939 entity
Predicate starring P1507 FINISHED
Object Josh Hutcherson E71031 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: Josh Hutcherson | Statement: [Kicking & Screaming, starring, Josh Hutcherson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Hutcherson
Context triple: [Kicking & Screaming, starring, Josh Hutcherson]
  • A. Josh Hutcherson chosen
    Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
  • B. Logan Lerman
    Logan Lerman is an American actor best known for his lead role in the "Percy Jackson" film series and performances in movies such as "The Perks of Being a Wallflower" and "Fury."
  • C. Shia LaBeouf
    Shia LaBeouf is an American actor and performance artist known for roles in films such as the Transformers series, Honey Boy, and American Honey, as well as for his often controversial public persona.
  • D. Wes Bentley
    Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
  • E. Asa Butterfield
    Asa Butterfield is an English actor known for his leading roles in films like "Hugo" and the series "Sex Education."
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc300223881909019982ebf194f78 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f12c2608190bd0eb25c9df97ec6 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.