Triple

T15163767
Position Surface form Disambiguated ID Type / Status
Subject David Berman E362280 entity
Predicate associatedAct P37 FINISHED
Object Purple Mountains E362290 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: Purple Mountains | Statement: [David Berman, associatedAct, Purple Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purple Mountains
Context triple: [David Berman, associatedAct, Purple Mountains]
  • A. Purple Mountains chosen
    Purple Mountains is an indie rock project and album created by singer-songwriter David Berman following his work with Silver Jews.
  • B. Purple Mountain
    Purple Mountain is a famous scenic and historical mountain in Nanjing, China, known for its rich cultural heritage, ancient sites, and natural beauty.
  • C. Sunset Rock
    Sunset Rock is a popular scenic overlook on Lookout Mountain known for its expansive views and striking sunsets.
  • D. Black Mountain
    Black Mountain is a rural locality in Queensland, Australia, known for its scenic hinterland setting near Noosa on the Sunshine Coast.
  • E. Black Mountain
    Black Mountain is a rugged, scenic mountain range in the western part of the Brecon Beacons in Wales, known for its remote moorlands, lakes, and dramatic escarpments.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064b21ac81908b793bdbd741bcd8 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffdf65c8190bf629dfc32b97caa completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:08 a.m.