Triple
T4218785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Apgar |
E94286
|
entity |
| Predicate | familyName |
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, familyName, Apgar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apgar Context triple: [Virginia Apgar, familyName, Apgar]
-
A.
Nicu
Nicu is a given name, commonly used as a diminutive or variant of Nicholas in some languages.
-
B.
Neebe
Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
-
C.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
D.
Suckling Nelson
Suckling Nelson was a child of Edmund Nelson and a member of the extended family of Admiral Horatio Nelson.
-
E.
B-A-B-Y
"B-A-B-Y" is a 1966 soul song by American singer Carla Thomas, known for its catchy melody and classic Stax Records sound.
- 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, familyName, 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.
Nicu
Nicu is a given name, commonly used as a diminutive or variant of Nicholas in some languages.
-
B.
Neebe
Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
-
C.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
D.
Suckling Nelson
Suckling Nelson was a child of Edmund Nelson and a member of the extended family of Admiral Horatio Nelson.
-
E.
B-A-B-Y
"B-A-B-Y" is a 1966 soul song by American singer Carla Thomas, known for its catchy melody and classic Stax Records sound.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e0b2ee08190930600e1e802b325 |
completed | March 12, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5963d3bd8819086465701f4c6adf5 |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b596dbb19c81908080af37ecfe2497 |
completed | March 14, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5976663d88190a73a729554e91074 |
completed | March 14, 2026, 5:14 p.m. |
Created at: March 12, 2026, 11:04 p.m.