Triple
T2968877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. K. Ogden |
E80232
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kay |
E49538
|
NE FINISHED |
How this triple was built (2 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: Kay | Statement: [C. K. Ogden, givenName, Kay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Context triple: [C. K. Ogden, givenName, Kay]
-
A.
Kay
chosen
Kay is a common diminutive or nickname for the given name Catherine.
-
B.
Bron
Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
-
C.
Ayres
Ayres is a surname most notably associated with American actor Lew Ayres, famed for his role in the film "All Quiet on the Western Front."
-
D.
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.
-
E.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9970e2c08190affa5efedb9aad75 |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fca2e5048190a3659de827ee7da9 |
completed | March 11, 2026, 5:24 a.m. |
Created at: March 8, 2026, 2:58 p.m.