Triple

T23011593
Position Surface form Disambiguated ID Type / Status
Subject New York Power E572919 entity
Predicate notablePlayer P304 FINISHED
Object Sara Whalen — NE NERFINISHED

How this triple was built (3 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: Sara Whalen | Statement: [New York Power, notablePlayer, Sara Whalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sara Whalen
Context triple: [New York Power, notablePlayer, Sara Whalen]
  • A. Sara Haden
    Sara Haden was an American character actress best known for her supporting roles in classic Hollywood films of the 1930s and 1940s, including several entries in the Andy Hardy series.
  • B. Sara Ellis
    Sara Ellis is a savvy insurance investigator and Neal Caffrey’s complex love interest in the television series "White Collar."
  • C. Sara Risher
    Sara Risher is a film and television producer best known for her work on horror projects, including serving as an executive at New Line Cinema during the height of the A Nightmare on Elm Street franchise.
  • D. Sara Braun
    Sara Braun was a prominent late 19th- and early 20th-century businesswoman and philanthropist in Chilean Patagonia, known for her influential role in regional development and society.
  • E. Sara Allgood
    Sara Allgood was an Irish stage and film actress known for her character roles in early 20th-century theatre and classic Hollywood cinema.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sara Whalen
Target entity description: Sara Whalen is a former American soccer defender and Olympic silver medalist who played in the early years of professional women’s soccer in the United States.
  • A. Sara Haden
    Sara Haden was an American character actress best known for her supporting roles in classic Hollywood films of the 1930s and 1940s, including several entries in the Andy Hardy series.
  • B. Sara Ellis
    Sara Ellis is a savvy insurance investigator and Neal Caffrey’s complex love interest in the television series "White Collar."
  • C. Sara Risher
    Sara Risher is a film and television producer best known for her work on horror projects, including serving as an executive at New Line Cinema during the height of the A Nightmare on Elm Street franchise.
  • D. Sara Braun
    Sara Braun was a prominent late 19th- and early 20th-century businesswoman and philanthropist in Chilean Patagonia, known for her influential role in regional development and society.
  • E. Sara Allgood
    Sara Allgood was an Irish stage and film actress known for her character roles in early 20th-century theatre and classic Hollywood cinema.
  • F. None of above. chosen

Provenance (2 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835b0cb881908d3d2dd40cffcbc2 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.