Triple

T23163775
Position Surface form Disambiguated ID Type / Status
Subject Martin Gusinde E578657 entity
Predicate givenName P17 FINISHED
Object Martin
Martin is a masculine given name of Latin origin, commonly used in many European and English-speaking countries.
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: [Martin Gusinde, givenName, Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin
Context triple: [Martin Gusinde, givenName, 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 character in Don DeLillo’s novel "Falling Man," which explores the personal and psychological aftermath of the September 11 attacks.
  • C. Martin
    Martin is a brand best known for its Martin N-20 classical acoustic guitar, famously associated with Willie Nelson’s instrument “Trigger.”
  • D. Martin
    Martin is a 1990s American sitcom starring Martin Lawrence as a wisecracking Detroit radio DJ and later TV personality, known for its energetic humor and memorable supporting characters.
  • E. Martin
    Martin "Buggsy" Goldstein was an American mobster and contract killer associated with Murder, Inc. in the 1930s and 1940s.
  • 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: [Martin Gusinde, givenName, Martin]
Generated description
Martin is a masculine given name of Latin origin, commonly used in many European and English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin
Target entity description: Martin is a masculine given name of Latin origin, commonly used in many European and English-speaking countries.
  • 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 L. Gore, the English songwriter, musician, and founding member of the band Depeche Mode.
  • D. 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.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f29be30819091e18551044a98f3 completed April 29, 2026, 4:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30a4760881908b4e306b896df80e completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c32ab76988190917b76806a6c2c80 completed May 19, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0c3335e83c8190a9bee47e86215c05 completed May 19, 2026, 9:53 a.m.
Created at: April 17, 2026, 4:02 p.m.