Triple

T16053198
Position Surface form Disambiguated ID Type / Status
Subject The Perks of Being a Wallflower E389406 entity
Predicate character P662 FINISHED
Object Sam E64126 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: Sam | Statement: [The Perks of Being a Wallflower, character, Sam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam
Context triple: [The Perks of Being a Wallflower, character, Sam]
  • A. Sam
    Sam is the iconic, burlap-sack-masked embodiment of Halloween who enforces the holiday’s rules in the Trick 'r Treat horror franchise.
  • B. Sam chosen
    Sam is a person whose given name is Sam.
  • C. Simon
    Simon is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
  • D. Simon
    Simon is a 1980 satirical science-fiction comedy film written and directed by Marshall Brickman, centered on a psychology professor who is tricked into believing he is an alien.
  • E. Simon
    Simon is a fictional character from the animated television series "The Seasons."
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1836365688190b182f29bbb66127e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe2d87c8190ba7f16feb018e70c completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.