Triple

T7273758
Position Surface form Disambiguated ID Type / Status
Subject Stoolbend High School E161170 entity
Predicate usedForPlotElement P98 FINISHED
Object teenage relationships LITERAL 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: teenage relationships | Statement: [Stoolbend High School, usedForPlotElement, teenage relationships]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedForPlotElement
Context triple: [Stoolbend High School, usedForPlotElement, teenage relationships]
  • A. plotElement
    Indicates that one entity functions as a narrative component or structural element within the storyline of another entity (such as a work of fiction or media).
  • B. drivesPlotElement
    Indicates that one element of the narrative is a primary cause or motivator for the development, progression, or outcome of another plot element.
  • C. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • D. usesElement
    Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
  • E. isUsedToIllustrate
    Indicates that one entity serves as an example or demonstration to clarify, explain, or represent another entity.
  • F. None of above.

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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb8a0b4881908ff27c5a75bd4a95 completed March 27, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69c6e76a84a081908d4184c55b728e48 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:58 p.m.