Triple

T14211503
Position Surface form Disambiguated ID Type / Status
Subject White Buildings E352242 entity
Predicate hasPoem P21160 FINISHED
Object Ave Maria
"Ave Maria" is a poem by American modernist writer Hart Crane, included in his influential 1926 collection "White Buildings."
E1085905 NE FINISHED

How this triple was built (4 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: Ave Maria | Statement: [White Buildings, hasPoem, Ave Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ave Maria
Context triple: [White Buildings, hasPoem, Ave Maria]
  • A. Ave Maria
    "Ave Maria" is a renowned and frequently interpreted devotional song, famously performed by The Three Tenors in their classical crossover repertoire.
  • B. Ave Maria, mater Dei
    "Ave Maria, mater Dei" is a celebrated early 16th-century English choral motet by William Cornysh, known for its rich polyphony and devotional Marian text.
  • C. Hail Mary
    The Hail Mary is a central Catholic prayer honoring the Virgin Mary and frequently recited in the Rosary.
  • D. Hail Mary
    "Hail Mary" is a dark, introspective hip-hop track by 2Pac that reflects on mortality, violence, and redemption, and is one of his most iconic posthumous releases.
  • E. Hail Holy Queen
    "Hail Holy Queen" is a traditional Catholic Marian hymn that gained renewed popular recognition through its lively choral performance in the film *Sister Act*.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ave Maria
Triple: [White Buildings, hasPoem, Ave Maria]
Generated description
"Ave Maria" is a poem by American modernist writer Hart Crane, included in his influential 1926 collection "White Buildings."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ave Maria
Target entity description: "Ave Maria" is a poem by American modernist writer Hart Crane, included in his influential 1926 collection "White Buildings."
  • A. Ave Maria
    "Ave Maria" is a renowned and frequently interpreted devotional song, famously performed by The Three Tenors in their classical crossover repertoire.
  • B. Ave Maria, mater Dei
    "Ave Maria, mater Dei" is a celebrated early 16th-century English choral motet by William Cornysh, known for its rich polyphony and devotional Marian text.
  • C. Hail Mary
    The Hail Mary is a central Catholic prayer honoring the Virgin Mary and frequently recited in the Rosary.
  • D. Hail Mary
    "Hail Mary" is a dark, introspective hip-hop track by 2Pac that reflects on mortality, violence, and redemption, and is one of his most iconic posthumous releases.
  • E. Hail Holy Queen
    "Hail Holy Queen" is a traditional Catholic Marian hymn that gained renewed popular recognition through its lively choral performance in the film *Sister Act*.
  • F. None of above. chosen

Provenance (5 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620dba0c8190bb77a1df10e1d3a7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19574280819091bafd95a75983bf completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1a231cbc819083d38e25073892bf completed May 7, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69fd1ada47788190afcf8078d76ef339 completed May 7, 2026, 11:06 p.m.
Created at: April 10, 2026, 1:05 a.m.