Triple

T2017097
Position Surface form Disambiguated ID Type / Status
Subject Avi Lewis E44018 entity
Predicate notableWork P4 FINISHED
Object The Take E32252 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: The Take | Statement: [Avi Lewis, notableWork, The Take]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Take
Context triple: [Avi Lewis, notableWork, The Take]
  • A. The Take chosen
    The Take is a 2004 documentary film that follows Argentine workers as they reclaim and run a bankrupt factory as a cooperative, co-created by writer and activist Naomi Klein.
  • B. Best Take
    Best Take is a Google Pixel camera feature that lets you combine multiple group photos to swap faces and expressions so everyone looks their best in a single shot.
  • C. The B Team
    The B Team is a global nonprofit initiative that brings together business and civil society leaders to promote responsible, sustainable, and inclusive business practices worldwide.
  • D. Stakeout
    "Stakeout" is a 1987 American buddy-cop comedy thriller film starring Richard Dreyfuss and Emilio Estevez as detectives assigned to surveil an escaped convict’s ex-girlfriend.
  • E. The Unit
    The Unit is an American television drama series that follows a covert U.S. Army special operations team and their families as they navigate dangerous missions and personal challenges.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8ccdb7c81909f6b3c96f79fcdfc completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af1547481909d5f2ca9c4715ace completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.