Triple
T21374389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberta Pike |
E527158
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Roberta Pike |
—
|
NE NERFINISHED |
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: Roberta Pike | Statement: [Roberta Pike, name, Roberta Pike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roberta Pike Context triple: [Roberta Pike, name, Roberta Pike]
-
A.
Roberta Pike
chosen
Roberta Pike is a notable individual who shares the surname Pike and has achieved sufficient recognition to be specifically cited as a distinguished bearer of the name.
-
B.
Rosemary Rogers
Rosemary Rogers is an American author and former model best known for her work in fashion and entertainment circles and for her marriage to filmmaker Robert Downey Sr.
-
C.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
D.
Marie Fisher
Marie Fisher was the first wife of Fiorello H. La Guardia, the reformist mayor of New York City in the 1930s and 1940s.
-
E.
Rachel Greer
Rachel Greer is a professional known for her expertise in Amazon marketplace compliance, product safety, and e-commerce consulting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0b3666c8190a83bb32eeba24105 |
completed | April 22, 2026, 11:27 a.m. |
Created at: April 16, 2026, 5:10 p.m.