Triple

T4269833
Position Surface form Disambiguated ID Type / Status
Subject Audio Magic Eraser E96913 entity
Predicate relatedTo P37 FINISHED
Object Best Take E96912 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: Best Take | Statement: [Audio Magic Eraser, relatedTo, Best Take]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Best Take
Context triple: [Audio Magic Eraser, relatedTo, Best Take]
  • A. Best Take chosen
    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.
  • B. The Take
    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.
  • C. The Take
    The Take is a British crime drama television series adapted from Martina Cole's novel, featuring Tom Hardy in a prominent role as a volatile gangster.
  • D. What It Takes
    "What It Takes" is a song by the American rock band Aerosmith, released in 1989 as a power ballad from their album "Pump."
  • E. The Best
    "The Best" is a powerful pop-rock anthem popularized by Tina Turner that has become one of her signature songs and an enduring inspirational hit.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ffa30c08190913622ffec47d33d completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7a456108190afa46344a5ed2118 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:07 p.m.