Triple

T14234337
Position Surface form Disambiguated ID Type / Status
Subject For the Union Dead E352834 entity
Predicate hasPoem P21160 FINISHED
Object Water E343615 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: Water | Statement: [For the Union Dead, hasPoem, Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Water
Context triple: [For the Union Dead, hasPoem, Water]
  • A. Water
    "Water" is a gospel-infused hip-hop track by Kanye West from his 2019 album *Jesus Is King*, noted for its minimalist production and spiritual, cleansing-themed lyrics.
  • B. Water chosen
    Water is a fundamental chemical substance (H₂O) essential for life, known for its roles in biological processes, climate regulation, and human civilization.
  • C. Water
    Water is a 2005 Canadian-Indian drama film by Deepa Mehta that explores the lives and struggles of Hindu widows in 1930s colonial India.
  • D. H2O
    H2O is a popular track by American rapper Ski Mask the Slump God, known for its rapid-fire delivery, playful wordplay, and energetic production.
  • E. H2O
    H2O is a 1982 pop-rock album by American duo Daryl Hall & John Oates, featuring hits like "Maneater" that helped cement their commercial peak in the early 1980s.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62411c888190a154acd56fe3fcaf completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281bc67c81909bb09ee4a39a0b7f completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.