Triple

T20152957
Position Surface form Disambiguated ID Type / Status
Subject Steam Train E491481 entity
Predicate genre P14 FINISHED
Object Let's Play NE NERFINISHED

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: Let's Play | Statement: [Steam Train, genre, Let's Play]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Let's Play
Context triple: [Steam Train, genre, Let's Play]
  • A. Let's Play chosen
    Let's Play is a type of online video series in which players record themselves playing video games while providing commentary, reactions, and entertainment for viewers.
  • B. Come Play
    Come Play is a 2020 American horror film about a nonverbal autistic boy who is terrorized by a malevolent creature that manifests through electronic devices.
  • C. The Games We Play
    The Games We Play is a song featured on the album "Daytona," known for its sharp lyricism and polished production.
  • D. Press to Play
    Press to Play is a 1986 studio album by Paul McCartney that marked his experimentation with contemporary 1980s production and collaboration with producer Hugh Padgham.
  • E. Our Game
    Our Game is a 1995 espionage novel by John le Carré that follows a retired British intelligence officer entangled in a post–Cold War conspiracy involving his former protégé.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667dda9b4819097ff66bb2b50fc21 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.