Triple

T20674724
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Hoeks E508128 entity
Predicate appearedIn P795 FINISHED
Object See E700674 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: See | Statement: [Sylvia Hoeks, appearedIn, See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: See
Context triple: [Sylvia Hoeks, appearedIn, See]
  • A. See chosen
    See is a post-apocalyptic science fiction television series in which a future human society has lost the sense of sight, leading to unique cultural and power struggles.
  • B. See
    See is a surname of English origin borne by various individuals, including those in the arts, sciences, and public life.
  • C. See Pictures
    See Pictures is a film and television production company known for developing and producing narrative screen content.
  • D. Something To See
    "Something To See" is a song featured on the 2008 album *Our Bright Future* by American singer-songwriter Tracy Chapman.
  • E. Look
    Look is a French cycling brand best known for pioneering clipless pedals and innovative carbon fiber bicycle frames used by professional racing teams.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cdbec48190a945261c41d810ce completed April 20, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd689f3881908347064014c9a32a completed May 16, 2026, 8:02 p.m.
Created at: April 16, 2026, 11:44 a.m.