Triple

T1619349
Position Surface form Disambiguated ID Type / Status
Subject Taylor Twellman E34794 entity
Predicate employer P7 FINISHED
Object Apple TV+ E20924 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: Apple TV+ | Statement: [Taylor Twellman, employer, Apple TV+]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple TV+
Context triple: [Taylor Twellman, employer, Apple TV+]
  • A. Apple TV+ chosen
    Apple TV+ is Apple’s subscription-based streaming platform offering original TV series, films, and documentaries across its devices and the web.
  • B. Apple TV
    Apple TV is a digital media player and streaming device by Apple that lets users watch movies, TV shows, and other content from various apps and services on their television.
  • C. Disney+
    Disney+ is a subscription-based streaming service from The Walt Disney Company that offers movies and TV shows from Disney, Pixar, Marvel, Star Wars, National Geographic, and more.
  • D. Hulu
    Hulu is a U.S.-based subscription streaming service offering on-demand access to a wide range of television shows, films, and original content.
  • E. Paramount+
    Paramount+ is a subscription-based streaming service from Paramount Global that offers live sports, original series, and a wide range of on-demand TV shows and movies.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909aef1b881909ef90dbc833a82a3 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51d2cbb481908bc74cecdc023547 completed March 8, 2026, 10:39 a.m.
Created at: March 4, 2026, 7:28 p.m.