Triple

T15338256
Position Surface form Disambiguated ID Type / Status
Subject Roswell Field E366723 entity
Predicate middleName P143 FINISHED
Object Martin
Martin is the middle name of Roswell Field, an American lawyer best known for his involvement in the Dred Scott case.
E1151360 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: Martin | Statement: [Roswell Field, middleName, Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin
Context triple: [Roswell Field, middleName, Martin]
  • A. Martin
    Martin is a minor but kind-hearted character in Ernest Hemingway's novella "The Old Man and the Sea," known for helping the old fisherman Santiago.
  • B. Martin
    Martin is a pessimistic scholar who serves as one of Candide’s key philosophical foils in Voltaire’s satirical novella "Candide."
  • C. Martin
    Martin is a renowned brand of acoustic guitars and related instruments produced by C. F. Martin & Company.
  • D. Martin
    Martin is a brand best known for its Martin N-20 classical acoustic guitar, famously associated with Willie Nelson’s instrument “Trigger.”
  • E. Martin
    Martin is the middle name of Henry Martin Tupper, an individual likely known in historical or biographical records.
  • 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: Martin
Triple: [Roswell Field, middleName, Martin]
Generated description
Martin is the middle name of Roswell Field, an American lawyer best known for his involvement in the Dred Scott case.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin
Target entity description: Martin is the middle name of Roswell Field, an American lawyer best known for his involvement in the Dred Scott case.
  • A. Martin
    Martin is the given name of Martin Delany, a prominent 19th-century African American abolitionist, writer, and one of the first Black field officers in the U.S. Army.
  • B. Martin
    Martin is the given name of Martin Luther King Jr., the prominent American civil rights leader and Baptist minister who advocated nonviolent resistance to racial segregation.
  • C. Martin
    Martin is the given name of Martin Dies Jr., a prominent American politician who chaired the House Un-American Activities Committee in the late 1930s and early 1940s.
  • D. Martin
    Martin is the middle name of Henry Martin Tupper, an individual likely known in historical or biographical records.
  • E. Martin
    Martin is the given name of Martin Luther the Younger, a 16th-century German theologian and the son of Protestant Reformation leader Martin Luther.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e11b22c81908280efe65acd5454 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f2ee9c819080fce24ed13a07c7 completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff02a62dcc819087eddd2f0b4c29cb completed May 9, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ff036153588190ae46fcde257eb3cb completed May 9, 2026, 9:50 a.m.
Created at: April 10, 2026, 3:17 a.m.