Triple

T17338420
Position Surface form Disambiguated ID Type / Status
Subject Virginia Apgar E421000 entity
Predicate hasFamilyName P18 FINISHED
Object Apgar
Apgar is a surname most notably associated with Virginia Apgar, the American anesthesiologist who developed the Apgar Score used worldwide to assess the health of newborns.
 E421000 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: Apgar | Statement: [Virginia Apgar, hasFamilyName, Apgar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Apgar
Context triple: [Virginia Apgar, hasFamilyName, Apgar]
  • A. Nicu
    Nicu is a given name, commonly used as a diminutive or variant of Nicholas in some languages.
  • B. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • C. Bebé
    "Bebé" is a track from Ozuna’s hit reggaeton album "Odisea," known for its romantic, melodic style.
  • D. Suckling Nelson
    Suckling Nelson was a child of Edmund Nelson and a member of the extended family of Admiral Horatio Nelson.
  • E. The Baby
    "The Baby" is a country song recorded by Blake Shelton that became one of his early signature hits.
  • 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: Apgar
Triple: [Virginia Apgar, hasFamilyName, Apgar]
Generated description
Apgar is a surname most notably associated with Virginia Apgar, the American anesthesiologist who developed the Apgar Score used worldwide to assess the health of newborns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Apgar
Target entity description: Apgar is a surname most notably associated with Virginia Apgar, the American anesthesiologist who developed the Apgar Score used worldwide to assess the health of newborns.
  • A. Apgar chosen
    Apgar is a surname most notably associated with Virginia Apgar, the American anesthesiologist who developed the Apgar Score used worldwide to assess the health of newborns.
  • B. Nicu
    Nicu is a given name, commonly used as a diminutive or variant of Nicholas in some languages.
  • C. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • D. Bebé
    "Bebé" is a track from Ozuna’s hit reggaeton album "Odisea," known for its romantic, melodic style.
  • E. Suckling Nelson
    Suckling Nelson was a child of Edmund Nelson and a member of the extended family of Admiral Horatio Nelson.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a13dd44819091d296c764976dfe completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019552a0208190bd8bd0f9588911c3 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a019b79d7148190abf4b41f0c84c62e completed May 11, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_6a019c1b60f08190a6469602751e3471 completed May 11, 2026, 9:06 a.m.
Created at: April 10, 2026, 5:43 a.m.