Triple

T7646170
Position Surface form Disambiguated ID Type / Status
Subject Lindsay Whalen E173127 entity
Predicate familyName P18 FINISHED
Object Whalen
Whalen is a surname most notably associated with Lindsay Whalen, a former professional basketball player and coach.
E680188 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: Whalen | Statement: [Lindsay Whalen, familyName, Whalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whalen
Context triple: [Lindsay Whalen, familyName, Whalen]
  • A. Wylie
    Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • B. Bakke
    Bakke is the commonly used shorthand name for the landmark U.S. Supreme Court case Regents of the University of California v. Bakke, which addressed the constitutionality of race-based admissions policies in higher education.
  • C. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • D. Nisenan
    The Nisenan are an Indigenous people of Northern California, traditionally inhabiting the Sierra Nevada foothills and Sacramento Valley, with a distinct Maidu language and culture.
  • E. Noland
    Noland is a surname most notably associated with Kenneth Noland, an influential American abstract painter linked to the Color Field movement.
  • 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: Whalen
Triple: [Lindsay Whalen, familyName, Whalen]
Generated description
Whalen is a surname most notably associated with Lindsay Whalen, a former professional basketball player and coach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Whalen
Target entity description: Whalen is a surname most notably associated with Lindsay Whalen, a former professional basketball player and coach.
  • A. Wylie
    Wylie is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • B. Bakke
    Bakke is the commonly used shorthand name for the landmark U.S. Supreme Court case Regents of the University of California v. Bakke, which addressed the constitutionality of race-based admissions policies in higher education.
  • C. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • D. Nisenan
    The Nisenan are an Indigenous people of Northern California, traditionally inhabiting the Sierra Nevada foothills and Sacramento Valley, with a distinct Maidu language and culture.
  • E. Noland
    Noland is a surname most notably associated with Kenneth Noland, an influential American abstract painter linked to the Color Field movement.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf3bd388190a8cb0f13322a7c00 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ad236448190886611ac9d1cc393 completed March 29, 2026, 3:21 a.m.
NEDg Description generation batch_69c89b8a06588190b05a8ee7ddbe737c completed March 29, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c89c1284708190bb2707e41de3be85 completed March 29, 2026, 3:27 a.m.
Created at: March 27, 2026, 3:58 p.m.