Triple

T16959733
Position Surface form Disambiguated ID Type / Status
Subject Maarten E411394 entity
Predicate hasVariant P455 FINISHED
Object Martin
Martin is a common given name of Latin origin, widely used across many languages and cultures.
E223140 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: [Maarten, hasVariant, Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin
Context triple: [Maarten, hasVariant, Martin]
  • A. Martin
    Martin is the central protagonist of the 1991 psychological thriller film "Proof," around whom the story’s exploration of trust, perception, and human connection revolves.
  • B. Martin
    Martin is a city in central Slovakia known as a historical center of Slovak culture and national revival.
  • C. Martin
    Martin is the given first name of South African anti-apartheid leader Chris Hani, whose full name was Martin Thembisile "Chris" Hani.
  • D. Martin
    Martin is the middle name of Roswell Field, an American lawyer best known for his involvement in the Dred Scott case.
  • E. Martin
    Martin is a fictional character from the dark comedy film "Mini's First Time," involved in the movie’s twisted family and blackmail plot.
  • 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: [Maarten, hasVariant, Martin]
Generated description
Martin is a common given name of Latin origin, widely used across many languages and cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin
Target entity description: Martin is a common given name of Latin origin, widely used across many languages and cultures.
  • A. Martin chosen
    Martin is a masculine given name of Latin origin, commonly used in many European languages.
  • B. Martin
    Martin is a common surname of European origin, widely borne by individuals across many countries and cultures.
  • C. 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.
  • D. 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.
  • 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.

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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01f9ba881908dc8820b92869a63 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d468f5048190aa43b212ec7a7306 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d5f5f0448190be407979539fcd80 completed May 10, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00d6e1add481908cce9048e3746e7c completed May 10, 2026, 7:05 p.m.
Created at: April 10, 2026, 5:31 a.m.