Triple

T8129519
Position Surface form Disambiguated ID Type / Status
Subject Love, Simon E189819 entity
Predicate character P662 FINISHED
Object Simon Spier E714757 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: Simon Spier | Statement: [Love, Simon, character, Simon Spier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Spier
Context triple: [Love, Simon, character, Simon Spier]
  • A. Simon Spier chosen
    Simon Spier is a closeted gay teenager navigating first love and coming out in the young adult novel and film "Love, Simon."
  • B. Julian Nott
    Julian Nott is a British composer best known for his film and television scores, including the music for the "Wallace & Gromit" series.
  • C. Sophie Piper
    Sophie Piper is the youngest Cromwell sibling in Disney's "Halloweentown" film series, known for her emerging magical abilities and intuitive connection to the supernatural.
  • D. Sophie Piper
    Sophie Piper was a Swedish noblewoman and courtier of the late 18th and early 19th centuries, known for her close ties to the royal court and involvement in contemporary political and social circles.
  • E. Sid Sawyer
    Sid Sawyer is Tom Sawyer’s well-behaved but tattling half-brother in Mark Twain’s classic novel "The Adventures of Tom Sawyer."
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b6b4dc8190be237e6dd21c863b completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbebd0d0481908eb6989d1822421a completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:34 p.m.