Triple

T6043762
Position Surface form Disambiguated ID Type / Status
Subject Anonymous Content E134613 entity
Predicate produced P490 FINISHED
Object Spotlight E238253 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: [Anonymous Content, produced, Spotlight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spotlight
Context triple: [Anonymous Content, produced, Spotlight]
  • A. 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.
  • B. Spotlight chosen
    "Spotlight" is an Academy Award–winning investigative drama film about The Boston Globe's uncovering of widespread child abuse within the Catholic Church.
  • C. Spotlight
    Spotlight is Snapchat’s short-form video platform that showcases user-generated content in a TikTok-style, vertically scrolling feed.
  • D. 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.
  • E. Spotlight
    Spotlight is a curated section of the Sundance Film Festival that showcases standout films from other festivals and notable works by established filmmakers.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e2b1148190908c4dc43abee266 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d01aa208190a9c630780f5b9851 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:08 p.m.