Triple

T14879917
Position Surface form Disambiguated ID Type / Status
Subject Miles Heizer E349970 entity
Predicate hasActedIn P15620 FINISHED
Object 13 Reasons Why E391837 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: 13 Reasons Why | Statement: [Miles Heizer, hasActedIn, 13 Reasons Why]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 13 Reasons Why
Context triple: [Miles Heizer, hasActedIn, 13 Reasons Why]
  • A. Thirteen Reasons Why chosen
    Thirteen Reasons Why is a controversial teen drama television series, based on Jay Asher’s novel, that explores the events leading up to a high school student’s suicide through a series of recorded tapes.
  • B. Dear Evan Hansen
    Dear Evan Hansen is a contemporary Broadway musical that explores themes of loneliness, social media, and identity through the story of an anxious high school student whose lie spirals out of control.
  • C. Thirteen
    Thirteen is a studio album by American country and folk singer-songwriter Emmylou Harris.
  • D. Thirteen
    Thirteen is a steel roller coaster at Alton Towers Resort in the UK, known for its surprise vertical drop section and psychological horror theme.
  • E. Thirteen
    Thirteen is the middle name of Rocky Thirteen Barker, a person whose distinctive name element sets them apart.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72ac9f6481908f7b4f63a11fe16c completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 1:55 a.m.