Triple

T8788923
Position Surface form Disambiguated ID Type / Status
Subject Bohuslav Martinů E209110 entity
Predicate notableWork P4 FINISHED
Object Field Mass
Field Mass is a 1939 cantata by Bohuslav Martinů for baritone, male chorus, and orchestra, written as a solemn tribute to Czechoslovak soldiers in World War II.
 E757739 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: Field Mass | Statement: [Bohuslav Martinů, notableWork, Field Mass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Field Mass
Context triple: [Bohuslav Martinů, notableWork, Field Mass]
  • A. Field
    Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
  • B. Field
    Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
  • C. 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.
  • D. Massa
    Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
  • E. Massa
    Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
  • 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: Field Mass
Triple: [Bohuslav Martinů, notableWork, Field Mass]
Generated description
Field Mass is a 1939 cantata by Bohuslav Martinů for baritone, male chorus, and orchestra, written as a solemn tribute to Czechoslovak soldiers in World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Field Mass
Target entity description: Field Mass is a 1939 cantata by Bohuslav Martinů for baritone, male chorus, and orchestra, written as a solemn tribute to Czechoslovak soldiers in World War II.
  • A. Field
    Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
  • B. Field
    Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
  • C. 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.
  • D. Massa
    Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
  • E. Massa
    Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8b0c108190af53d4bb9b132c5c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5210454c8190aa83d941893a4bc5 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf5378c3f48190a4180c20aecb2260 completed April 3, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf5471e9c08190963b7f1d6c2ceffe completed April 3, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:43 p.m.