Triple

T13034495
Position Surface form Disambiguated ID Type / Status
Subject David Gordon Green E326521 entity
Predicate directed P7373 FINISHED
Object Prince Avalanche E508804 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: Prince Avalanche | Statement: [David Gordon Green, directed, Prince Avalanche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Avalanche
Context triple: [David Gordon Green, directed, Prince Avalanche]
  • A. Prince Avalanche chosen
    Prince Avalanche is a 2013 indie comedy-drama film about two mismatched road workers bonding in an isolated, wildfire-ravaged landscape.
  • B. Jack Snow
    Jack Snow was an American writer best known for continuing L. Frank Baum’s Oz series with additional novels and stories.
  • C. The Avalanche
    The Avalanche is a 2006 compilation album by Sufjan Stevens featuring outtakes and alternate versions from his Illinois recording sessions.
  • D. Thunderpuss
    Thunderpuss was a prominent late-1990s and early-2000s American DJ/producer duo known for their high-energy club remixes of pop and dance tracks.
  • E. Snoge
    Snoge is the historic 17th-century Portuguese-Israelite synagogue in Amsterdam, renowned as one of the oldest and best-preserved Sephardic synagogues in Europe.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97effca908190ab89fdb034e02680 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5fa10fc81908a37b85894f8f849 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:54 p.m.