Triple

T15718699
Position Surface form Disambiguated ID Type / Status
Subject Martin McDonagh E381029 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 McDonagh, givenName, Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin
Context triple: [Martin McDonagh, givenName, Martin]
  • A. 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.
  • B. Martin
    Martin is a central character in Sam Shepard’s play "Fool for Love," often portrayed as an outsider whose presence heightens the tension and emotional conflict between the main protagonists.
  • C. Martin
    Martin is a renowned brand of acoustic guitars and related instruments produced by C. F. Martin & Company.
  • 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 middle name of Roswell Field, an American lawyer best known for his involvement in the Dred Scott case.
  • 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 McDonagh, 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 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 Luther the Younger, a 16th-century German theologian and the son of Protestant Reformation leader Martin Luther.
  • E. 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.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f932a248190b65ecfb2bc56e715 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75756ecc8190bd2123ddfd080fd1 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff763d40348190bf102da746420390 completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76ec45948190bee47609c0d2fd10 completed May 9, 2026, 6:03 p.m.
Created at: April 10, 2026, 4:45 a.m.