Triple

T10464455
Position Surface form Disambiguated ID Type / Status
Subject Harry Elkins Widener E246755 entity
Predicate familyName P18 FINISHED
Object Widener
Widener is a prominent American family name historically associated with great wealth, philanthropy, and the Widener Library at Harvard University.
 E179130 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: Widener | Statement: [Harry Elkins Widener, familyName, Widener]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Widener
Context triple: [Harry Elkins Widener, familyName, Widener]
  • A. Widener University
    Widener University is a private university in Chester, Pennsylvania, known for its programs in engineering, nursing, business, and the liberal arts, and for its historical roots as a military college.
  • B. Villanova
    Villanova is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • C. Creighton
    Creighton is a masculine given name most notably associated with U.S. Army General Creighton Abrams.
  • D. Biddle University
    Biddle University was the former name of Johnson C. Smith University, a historically Black university in Charlotte, North Carolina.
  • E. Wilkes University
    Wilkes University is a private university known for its programs in fields such as engineering, pharmacy, and business, serving students in northeastern Pennsylvania.
  • 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: Widener
Triple: [Harry Elkins Widener, familyName, Widener]
Generated description
Widener is a prominent American family name historically associated with great wealth, philanthropy, and the Widener Library at Harvard University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Widener
Target entity description: Widener is a prominent American family name historically associated with great wealth, philanthropy, and the Widener Library at Harvard University.
  • A. Widener University chosen
    Widener University is a private university in Chester, Pennsylvania, known for its programs in engineering, nursing, business, and the liberal arts, and for its historical roots as a military college.
  • B. Villanova
    Villanova is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • C. Creighton
    Creighton is a masculine given name most notably associated with U.S. Army General Creighton Abrams.
  • D. Biddle University
    Biddle University was the former name of Johnson C. Smith University, a historically Black university in Charlotte, North Carolina.
  • E. Wilkes University
    Wilkes University is a private university known for its programs in fields such as engineering, pharmacy, and business, serving students in northeastern Pennsylvania.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50886c2a8819086da6c08356ec6bf completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc5c26a88190aab4a590c20191a3 completed April 10, 2026, 11:17 a.m.
NEDg Description generation batch_69d8e8c683608190aa4333ed38e79f53 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901c7684c8190837ed9ef0c2428af completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:19 p.m.