Triple

T3759306
Position Surface form Disambiguated ID Type / Status
Subject Ready Player One E82123 entity
Predicate screenwriter P2831 FINISHED
Object Ernest Cline E387007 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: Ernest Cline | Statement: [Ready Player One, screenwriter, Ernest Cline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest Cline
Context triple: [Ready Player One, screenwriter, Ernest Cline]
  • A. Ernest Cline chosen
    Ernest Cline is an American novelist and screenwriter best known for his pop culture–laden science fiction works, including the bestseller "Ready Player One."
  • B. Andy Weir
    Andy Weir is an American science fiction author best known for his hard-science survival novel "The Martian," which was adapted into a successful feature film.
  • C. James Dashner
    James Dashner is an American author best known for writing the young adult dystopian science fiction series "The Maze Runner."
  • D. John Scalzi
    John Scalzi is an American science fiction author and blogger best known for his novel "Old Man's War" and his influential online writing on the blog Whatever.
  • E. Patrick Ness
    Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc20b20819095fedf803aadc53a completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f0321c4c8190ba372148c483c4ca completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:35 p.m.