Triple

T18716743
Position Surface form Disambiguated ID Type / Status
Subject The Boy from Oz (Broadway production starring Hugh Jackman) E457660 entity
Predicate setDesigner P184 FINISHED
Object Robin Wagner NE NERFINISHED

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: Robin Wagner | Statement: [The Boy from Oz (Broadway production starring Hugh Jackman), setDesigner, Robin Wagner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Wagner
Context triple: [The Boy from Oz (Broadway production starring Hugh Jackman), setDesigner, Robin Wagner]
  • A. Robin Wagner chosen
    Robin Wagner was a prominent American scenic designer renowned for his innovative and influential work on numerous Broadway productions.
  • B. Danny Wagner
    Danny Wagner is the drummer for the American rock band Greta Van Fleet.
  • C. Wolf Leslau
    Wolf Leslau was a prominent linguist and scholar of Semitic and Ethiopian languages, renowned for his extensive fieldwork and documentation of endangered tongues.
  • D. Jan Wagner
    Jan Wagner is a contemporary German poet and essayist renowned for his finely crafted, image-rich verse and significant contributions to modern German-language literature.
  • E. Radley Metzger
    Radley Metzger was an American filmmaker renowned for his stylish, erotically charged art-house films that became emblematic of the Golden Age of Porn in the 1960s and 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab6e0948190b8c70bdea43d2ee5 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.