Triple

T14075514
Position Surface form Disambiguated ID Type / Status
Subject Glassboro State College E338721 entity
Predicate hasAlumni P51 FINISHED
Object Sandra Love
Sandra Love is an American politician and educator who served in the New Jersey General Assembly.
E1327072 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: Sandra Love | Statement: [Glassboro State College, hasAlumni, Sandra Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandra Love
Context triple: [Glassboro State College, hasAlumni, Sandra Love]
  • A. Sandra Davenport
    Sandra Davenport is the first wife of American actor and comedian Jim Belushi, with whom she has one son.
  • B. Sandra Jennings
    Sandra Jennings is an American woman best known for her long-term relationship and legal disputes with actor William Hurt.
  • C. Sandra Green
    Sandra Green is a recurring character on the television series "Friends," known as Rachel Green’s somewhat overbearing and image-conscious mother.
  • D. Sandra Denton
    Sandra Denton, better known by her stage name Pepa, is a Jamaican-American rapper and actress best known as one-third of the pioneering hip hop group Salt-N-Pepa.
  • E. Sandra Adair
    Sandra Adair is an American film editor best known for her long-time collaboration with director Richard Linklater on films such as "Boyhood" and the "Before" trilogy.
  • 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: Sandra Love
Triple: [Glassboro State College, hasAlumni, Sandra Love]
Generated description
Sandra Love is an American politician and educator who served in the New Jersey General Assembly.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sandra Love
Target entity description: Sandra Love is an American politician and educator who served in the New Jersey General Assembly.
  • A. Sandra Davenport
    Sandra Davenport is the first wife of American actor and comedian Jim Belushi, with whom she has one son.
  • B. Sandra Jennings
    Sandra Jennings is an American woman best known for her long-term relationship and legal disputes with actor William Hurt.
  • C. Sandra Green
    Sandra Green is a recurring character on the television series "Friends," known as Rachel Green’s somewhat overbearing and image-conscious mother.
  • D. Sandra Denton
    Sandra Denton, better known by her stage name Pepa, is a Jamaican-American rapper and actress best known as one-third of the pioneering hip hop group Salt-N-Pepa.
  • E. Sandra Adair
    Sandra Adair is an American film editor best known for her long-time collaboration with director Richard Linklater on films such as "Boyhood" and the "Before" trilogy.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5cdd288190914e1d57321b3554 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a047123a0408190b03850b3a8942e87 completed May 13, 2026, 12:40 p.m.
NEDg Description generation batch_6a047216091081908e259a5f9d4c8d49 completed May 13, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_6a0472a5bec08190849a64fc2fce18e8 completed May 13, 2026, 12:46 p.m.
Created at: April 9, 2026, 10:21 p.m.