Triple

T12205010
Position Surface form Disambiguated ID Type / Status
Subject Gallup E290813 entity
Predicate namedAfter P63 FINISHED
Object David L. Gallup
David L. Gallup was a 19th-century American railroad official after whom the city of Gallup, New Mexico, was named.
 E971680 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: David L. Gallup | Statement: [Gallup, namedAfter, David L. Gallup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David L. Gallup
Context triple: [Gallup, namedAfter, David L. Gallup]
  • A. LeRoy Apker
    LeRoy Apker was an American experimental physicist known for his contributions to solid-state physics and for his work at General Electric.
  • B. George Keymas
    George Keymas was an American character actor known for his frequent appearances in 1950s and 1960s Westerns and television series.
  • C. George D. Nelson
    George D. Nelson is a former NASA astronaut and physicist who flew on multiple Space Shuttle missions in the 1980s.
  • D. John H. Dietrich
    John H. Dietrich was an influential American Unitarian minister and early 20th-century leader in religious humanism, known for helping to shape modern humanist thought.
  • E. Raymond Caplan
    Raymond Caplan is the birth name of American actor and director Ray Danton, known for his roles in film noir and crime dramas of the mid-20th century.
  • 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: David L. Gallup
Triple: [Gallup, namedAfter, David L. Gallup]
Generated description
David L. Gallup was a 19th-century American railroad official after whom the city of Gallup, New Mexico, was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David L. Gallup
Target entity description: David L. Gallup was a 19th-century American railroad official after whom the city of Gallup, New Mexico, was named.
  • A. LeRoy Apker
    LeRoy Apker was an American experimental physicist known for his contributions to solid-state physics and for his work at General Electric.
  • B. George Keymas
    George Keymas was an American character actor known for his frequent appearances in 1950s and 1960s Westerns and television series.
  • C. George D. Nelson
    George D. Nelson is a former NASA astronaut and physicist who flew on multiple Space Shuttle missions in the 1980s.
  • D. John H. Dietrich
    John H. Dietrich was an influential American Unitarian minister and early 20th-century leader in religious humanism, known for helping to shape modern humanist thought.
  • E. Raymond Caplan
    Raymond Caplan is the birth name of American actor and director Ray Danton, known for his roles in film noir and crime dramas of the mid-20th century.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7c9084819085e7d2f9038f409f completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9ae3d48190a220ccd37ce8d3e7 completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60fe34e688190bf7915eea917815c completed May 2, 2026, 2:53 p.m.
NED2 Entity disambiguation (via description) batch_69f610b8efe88190907e84247d9e8456 completed May 2, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:51 p.m.