Triple

T14413840
Position Surface form Disambiguated ID Type / Status
Subject Campbell Scott E357397 entity
Predicate directed P7373 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: [Campbell Scott, directed, Off the Map]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Off the Map
Context triple: [Campbell Scott, directed, Off the Map]
  • A. 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.
  • B. 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.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.