Triple

T17000628
Position Surface form Disambiguated ID Type / Status
Subject Rachelle Lefevre E412432 entity
Predicate notableWork P4 FINISHED
Object Off the Map E251790 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: Off the Map | Statement: [Rachelle Lefevre, notableWork, Off the Map]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Off the Map
Context triple: [Rachelle Lefevre, notableWork, Off the Map]
  • A. Off the Map
    Off the Map is an album by the Silk Road Ensemble that showcases their cross-cultural, genre-blending approach to contemporary world music.
  • B. Off the Map chosen
    Off the Map is an American medical drama television series set in a remote South American clinic, known for featuring Mamie Gummer among its main cast.
  • C. On the Map
    "On the Map" is a song featured on the Bruce Springsteen album "Long Walk Home."
  • D. Map of Nowhere
    Map of Nowhere is a detailed, allegorical artwork by British artist Grayson Perry that takes the form of a fantastical map exploring themes of identity, society, and contemporary culture.
  • E. Never Lost
    "Never Lost" is a song by American rapper Mudboy, known for its gritty production and introspective lyrics.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37d9f9081909aef52426d88940d completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1ac518819093fac61b5598d730 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.