Triple

T8976751
Position Surface form Disambiguated ID Type / Status
Subject Walter Dellinger E214409 entity
Predicate familyName P18 FINISHED
Object Dellinger
Dellinger is a surname most notably associated with Walter Dellinger, a prominent American constitutional law scholar and former acting U.S. Solicitor General.
 E769039 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: Dellinger | Statement: [Walter Dellinger, familyName, Dellinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dellinger
Context triple: [Walter Dellinger, familyName, Dellinger]
  • A. Dilling
    Dilling is a Nubian language spoken primarily in the Nuba Mountains region of Sudan.
  • B. Palmore
    Palmore is a surname that functions as a variant form of the more common family name Palmer.
  • C. Corwin
    Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
  • D. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • E. Gideon Adlon
    Gideon Adlon is an American actress known for her roles in films like "Blockers" and various television series, often portraying complex and emotionally nuanced young characters.
  • 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: Dellinger
Triple: [Walter Dellinger, familyName, Dellinger]
Generated description
Dellinger is a surname most notably associated with Walter Dellinger, a prominent American constitutional law scholar and former acting U.S. Solicitor General.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dellinger
Target entity description: Dellinger is a surname most notably associated with Walter Dellinger, a prominent American constitutional law scholar and former acting U.S. Solicitor General.
  • A. Dilling
    Dilling is a Nubian language spoken primarily in the Nuba Mountains region of Sudan.
  • B. Palmore
    Palmore is a surname that functions as a variant form of the more common family name Palmer.
  • C. Corwin
    Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
  • D. Darrow
    Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
  • E. Gideon Adlon
    Gideon Adlon is an American actress known for her roles in films like "Blockers" and various television series, often portraying complex and emotionally nuanced young characters.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6786c880819088393bb107a7364c completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96aa46c81908b95a23fd2b4da57 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfca00ffa08190ad66fb99572a6275 completed April 3, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69cfca84937881909707497d733218e5 completed April 3, 2026, 2:11 p.m.
Created at: March 30, 2026, 7:02 p.m.