Triple

T10488802
Position Surface form Disambiguated ID Type / Status
Subject Sunshine on Leith (2013 film) E247359 entity
Predicate mainCharacter P1183 FINISHED
Object Rab E867040 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: Rab | Statement: [Sunshine on Leith (2013 film), mainCharacter, Rab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rab
Context triple: [Sunshine on Leith (2013 film), mainCharacter, Rab]
  • A. Rab
    Rab is a historic Croatian island in the Adriatic Sea, known for its medieval old town, sandy beaches, and lush pine forests.
  • B. Rab chosen
    Rab is a central character in the stage musical "Sunshine on Leith," which follows the lives and relationships of two soldiers returning home to Edinburgh.
  • C. Rav
    Rav was a leading early Babylonian amora and foundational Talmudic sage who co-established the great academy at Sura and helped shape rabbinic Judaism in the Amoraic period.
  • D. Raab
    Raab is a surname of German and Jewish origin borne by various notable individuals across fields such as politics, literature, and the arts.
  • E. Rato
    Rato is the central protagonist of the story "Trash," around whom the narrative and its events primarily revolve.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dc44d7881908391487275b845bf completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:23 p.m.