Triple

T8470538
Position Surface form Disambiguated ID Type / Status
Subject Quick Look E200269 entity
Predicate accessibleFrom P1985 FINISHED
Object Spotlight E200270 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: Spotlight | Statement: [Quick Look, accessibleFrom, Spotlight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spotlight
Context triple: [Quick Look, accessibleFrom, Spotlight]
  • A. Spotlight
    Spotlight is Snapchat’s short-form video platform that showcases user-generated content in a TikTok-style, vertically scrolling feed.
  • B. Spotlight
    "Spotlight" is an R&B ballad by Jennifer Hudson that showcases her powerful vocals and explores themes of control and emotional struggle in a relationship.
  • C. Spotlight chosen
    Spotlight is Apple’s system-wide search feature on macOS and iOS that quickly locates files, apps, and information across a device and the web.
  • D. Spotlight
    Spotlight is a curated section of the Sundance Film Festival that showcases standout films from other festivals and notable works by established filmmakers.
  • E. Spotlight
    Spotlight is a curated program within the New York Film Festival that showcases notable new films, special screenings, and high-profile premieres outside the main competition.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f234c481909534de6fd702f4cf completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39f45c3081908ea50810f0a386d6 completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:11 p.m.