Triple
T20665209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy D. Chapin |
E507865
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chapin |
—
|
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: Chapin | Statement: [Roy D. Chapin, familyName, Chapin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chapin Context triple: [Roy D. Chapin, familyName, Chapin]
-
A.
Chapin
chosen
Chapin is a surname of English origin borne by various notable individuals across fields such as politics, the arts, and academia.
-
B.
Chickerell
Chickerell is a small coastal town and civil parish in Dorset, England, situated near Weymouth and known for its proximity to the Fleet Lagoon and Chesil Beach.
-
C.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
D.
Meadowlark
"Meadowlark" is a poignant solo song from the Stephen Schwartz musical *The Baker's Wife*, in which the Baker's Wife reflects on love, sacrifice, and the courage to change her life.
-
E.
Bubley
Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c2c6d48190bbfe505cf7d973f9 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.