Triple

T595272
Position Surface form Disambiguated ID Type / Status
Subject Marshall Field E17366 entity
Predicate familyName P18 FINISHED
Object Field
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
 E74495 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 | Statement: [Marshall Field, familyName, Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Field
Context triple: [Marshall Field, familyName, Field]
  • A. Land
    Land Morrow Lindbergh is the son of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
  • B. Fields Corner
    Fields Corner is a rapid transit station in Dorchester, Boston, serving as a key stop on the Massachusetts Bay Transportation Authority’s Red Line.
  • C. Pest Plain
    Pest Plain is the flat, densely built-up eastern part of Budapest, known as the city’s main commercial and administrative area.
  • D. Marsh
    Marsh is the middle name of William Marsh Rice, the American businessman and philanthropist who founded Rice University in Houston, Texas.
  • E. Arenas
    Arenas is a Spanish-origin surname most notably associated with former NBA All-Star basketball player Gilbert Arenas.
  • 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
Triple: [Marshall Field, familyName, Field]
Generated description
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Field
Target entity description: Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
  • A. Land
    Land Morrow Lindbergh is the son of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
  • B. Fields Corner
    Fields Corner is a rapid transit station in Dorchester, Boston, serving as a key stop on the Massachusetts Bay Transportation Authority’s Red Line.
  • C. Pest Plain
    Pest Plain is the flat, densely built-up eastern part of Budapest, known as the city’s main commercial and administrative area.
  • D. Marsh
    Marsh is the middle name of William Marsh Rice, the American businessman and philanthropist who founded Rice University in Houston, Texas.
  • E. Arenas
    Arenas is a Spanish-origin surname most notably associated with former NBA All-Star basketball player Gilbert Arenas.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd280ac8190b6a530ce73da85c8 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c61744819090ccc037d61a61b1 completed March 2, 2026, 4:57 a.m.
NEDg Description generation batch_69a5197869fc8190b3e11f46f4eea7b9 completed March 2, 2026, 5 a.m.
NED2 Entity disambiguation (via description) batch_69a519e6319c81908d49076dfe2cd963 completed March 2, 2026, 5:02 a.m.
Created at: March 1, 2026, 7:33 p.m.