Triple

T5353434
Position Surface form Disambiguated ID Type / Status
Subject Batman Forever E102630 entity
Predicate character P662 FINISHED
Object Robin E308868 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: Robin | Statement: [Batman Forever, character, Robin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin
Context triple: [Batman Forever, character, Robin]
  • A. Robin
    Robin is a given name commonly used in various cultures, often as a diminutive or variant of names like Robert.
  • B. Robin chosen
    Robin is the disciplined and strategic leader of the Teen Titans, a young superhero team in the DC Comics universe.
  • C. Charlie
    Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
  • D. Charlie
    Charlie is a central character in the romantic comedy film "French Kiss," serving as the unfaithful fiancé whose actions set the story’s events in motion.
  • E. Charlie
    "Charlie" is a 2022 pop album by American singer-songwriter Charlie Puth that showcases his hook-driven production and personal, introspective songwriting.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86149774819084049a8785e3f2e0 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21dbc540819086aca16af1aa6213 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.