Triple

T9131049
Position Surface form Disambiguated ID Type / Status
Subject Winston Duke E219085 entity
Predicate notableWork P4 FINISHED
Object Us E306643 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: Us | Statement: [Winston Duke, notableWork, Us]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Us
Context triple: [Winston Duke, notableWork, Us]
  • A. Us
    Us is Peter Gabriel's 1992 studio album that explores themes of personal relationships and emotional introspection through richly layered, world music–influenced rock.
  • B. Us chosen
    Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
  • C. Us
    "Us" is a soulful pop ballad by British singer-songwriter James Bay that explores themes of hope, connection, and emotional vulnerability.
  • D. Us
    "Us" is a 2014 comic novel by British author David Nicholls that follows a middle-aged man’s attempt to save his crumbling marriage during a family trip across Europe.
  • E. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8ceea6c81909f368f12dac1649c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0544f7be481908f247889363c0f32 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:18 p.m.