Triple

T14634806
Position Surface form Disambiguated ID Type / Status
Subject Encounter on the Seine: Black Meets Brown E343574 entity
Predicate relatedWork P37 FINISHED
Object Nobody Knows My Name E69038 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: Nobody Knows My Name | Statement: [Encounter on the Seine: Black Meets Brown, relatedWork, Nobody Knows My Name]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nobody Knows My Name
Context triple: [Encounter on the Seine: Black Meets Brown, relatedWork, Nobody Knows My Name]
  • A. Nobody Knows My Name chosen
    Nobody Knows My Name is a 1961 collection of essays by James Baldwin that explores race, identity, and the African American experience in mid-20th-century America.
  • B. You Don't Know My Name
    "You Don't Know My Name" is a soulful R&B song by Alicia Keys, acclaimed for its nostalgic production, storytelling lyrics, and Keys' powerful vocal performance.
  • C. She Don't Know My Name
    "She Don't Know My Name" is a song featured on the album "Suit" by American rapper Nelly.
  • D. Nobody Knows
    "Nobody Knows" is a country music song recorded by American singer Kevin Sharp that became his signature hit in the late 1990s.
  • E. Nobody Knows
    Nobody Knows is a Japanese drama film directed by Hirokazu Kore-eda that follows the harrowing story of four abandoned siblings struggling to survive on their own in Tokyo.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ab9578819085b4cf7244d30d87 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda933937881909f3cf59fba878dfd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.