Triple
T18853171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel F. Hersey |
E461098
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hersey |
—
|
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: Hersey | Statement: [Samuel F. Hersey, familyName, Hersey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hersey Context triple: [Samuel F. Hersey, familyName, Hersey]
-
A.
Hersey
chosen
Hersey is a surname most notably associated with John Hersey, the American writer and journalist renowned for his work "Hiroshima."
-
B.
Kraft
Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
-
C.
Carvel
Carvel is a fictional small American town that serves as the primary setting for the Andy Hardy film series.
-
D.
Sanka
Sanka is a well-known brand of decaffeinated coffee that became popular in the United States during the 20th century.
-
E.
Heinz Boxes
Heinz Boxes is an artwork by Andy Warhol that, like his Brillo Boxes, consists of painted wooden replicas of commercial Heinz packaging, exploring themes of consumerism and mass production in art.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05a8a708190b9b2b8f95b2f1d23 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:56 a.m.