Triple

T15959167
Position Surface form Disambiguated ID Type / Status
Subject Aech E387012 entity
Predicate closeFriendOf P8712 FINISHED
Object Wade Watts E387010 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: Wade Watts | Statement: [Aech, closeFriendOf, Wade Watts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wade Watts
Context triple: [Aech, closeFriendOf, Wade Watts]
  • A. Wade Watts chosen
    Wade Watts is the teenage protagonist of Ernest Cline's science-fiction novel "Ready Player One," known for his quest through the virtual reality world of the OASIS to solve an elaborate pop-culture–laden Easter egg hunt.
  • B. Ben Tennyson
    Ben Tennyson is the young protagonist of the animated series "Ben 10," known for using the Omnitrix device to transform into various alien heroes and fight evil.
  • C. Nathan Darrow
    Nathan Darrow is an American actor best known for his roles in the television series "House of Cards" and "Gotham."
  • D. Linden Stanley Blue
    Linden Stanley Blue is an American businessman and aerospace executive best known as the co-owner and vice chairman of General Atomics, a major defense and energy technology company.
  • E. Tyler Gage
    Tyler Gage is the talented street dancer and protagonist from the original "Step Up" film, whose character and legacy carry over into "Step Up 2: The Streets."
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fe82d081908b5d41bc5a709de2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c3aae081909366c01b3fec4d47 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:53 a.m.