Triple

T15446112
Position Surface form Disambiguated ID Type / Status
Subject Harvey Martin E370026 entity
Predicate familyName P18 FINISHED
Object Martin
Martin is a common surname of English and French origin borne by numerous notable individuals across diverse fields.
E214356 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: [Harvey Martin, familyName, Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin
Context triple: [Harvey Martin, familyName, Martin]
  • A. Martin
    Martin is the middle name of Henry Martin Tupper, an individual likely known in historical or biographical records.
  • B. Martin
    Martin is the given name of Klaus Martin Einstein, the son of physicist Hans Albert Einstein and grandson of Albert Einstein.
  • C. Martin
    Martin is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s newsroom staff.
  • 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 minor but kind-hearted character in Ernest Hemingway's novella "The Old Man and the Sea," known for helping the old fisherman Santiago.
  • 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: [Harvey Martin, familyName, Martin]
Generated description
Martin is a common surname of English and French origin borne by numerous notable individuals across diverse fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin
Target entity description: Martin is a common surname of English and French origin borne by numerous notable individuals across diverse fields.
  • A. Martin chosen
    Martin is a common surname of European origin, widely borne by individuals across many countries and cultures.
  • B. Martin
    Martin is a masculine given name of Latin origin, commonly used in many European languages.
  • 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 middle name of Henry Martin Tupper, an individual likely known in historical or biographical records.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef767b4819099f2c0919a158321 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a7d44481909a26b5cc331a3259 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff23348a448190a2a2953a18b29aaf completed May 9, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff240af68c8190af88834d97a42afb completed May 9, 2026, 12:09 p.m.
Created at: April 10, 2026, 3:21 a.m.