Triple

T2859931
Position Surface form Disambiguated ID Type / Status
Subject Igor Stravinsky E63294 entity
Predicate notableWork P4 FINISHED
Object Mass
Mass is a neoclassical choral work by Igor Stravinsky for choir and wind instruments, noted for its austere, liturgical character and concise, ritualistic structure.
 E306495 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: Mass | Statement: [Igor Stravinsky, notableWork, Mass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mass
Context triple: [Igor Stravinsky, notableWork, Mass]
  • A. Massa
    Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
  • B. Massa
    Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
  • C. Manyika
    Manyika is a major dialect of the Shona language spoken primarily in eastern Zimbabwe and adjacent areas of Mozambique.
  • D. Mahas
    Mahas is an alternative name for the Nobiin language, a Nubian language spoken primarily along the Nile in southern Egypt and northern Sudan.
  • E. Masbat
    Masbat is a district within the Egyptian resort town of Dahab, known for its laid-back atmosphere, beachfront promenade, and proximity to popular Red Sea dive sites.
  • 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: Mass
Triple: [Igor Stravinsky, notableWork, Mass]
Generated description
Mass is a neoclassical choral work by Igor Stravinsky for choir and wind instruments, noted for its austere, liturgical character and concise, ritualistic structure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mass
Target entity description: Mass is a neoclassical choral work by Igor Stravinsky for choir and wind instruments, noted for its austere, liturgical character and concise, ritualistic structure.
  • A. Mass
    Mass is a large-scale theatrical work by Leonard Bernstein that blends elements of classical music, musical theater, and religious liturgy to explore themes of faith and doubt.
  • B. Massa
    Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
  • C. Massa
    Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
  • D. Manyika
    Manyika is a major dialect of the Shona language spoken primarily in eastern Zimbabwe and adjacent areas of Mozambique.
  • E. Mahas
    Mahas is an alternative name for the Nobiin language, a Nubian language spoken primarily along the Nile in southern Egypt and northern Sudan.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8aec3c8190a4168d8c916b5268 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d972aa481908f6cb5f27706990c completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b021fbc2808190b415fd8af934cf73 completed March 10, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_69b02656f8488190ab0d715d1634b6a7 completed March 10, 2026, 2:10 p.m.
Created at: March 6, 2026, 10:02 p.m.