Triple
T19719624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Peabody Harrington |
E473569
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Peabody |
—
|
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: Peabody | Statement: [John Peabody Harrington, middleName, Peabody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peabody Context triple: [John Peabody Harrington, middleName, Peabody]
-
A.
Peabody
Peabody is a suburban city in northeastern Massachusetts known for its location on the North Shore and its historical ties to the leather industry.
-
B.
Peabody
chosen
Peabody is the middle name of the American ethnologist and linguist J. P. Harrington, known for his extensive documentation of Native American languages and cultures.
-
C.
Ruggles
Ruggles is an English-origin surname borne by various notable individuals in fields such as entertainment, politics, and the arts.
-
D.
Ruggles
Ruggles is a major multimodal transit station in Boston, Massachusetts, serving MBTA commuter rail, subway, and bus routes near Northeastern University.
-
E.
Norwood
Norwood is a residential neighborhood in the Bronx, New York City, known for its diverse community and proximity to Van Cortlandt Park.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64410e5548190b60e13603b6c0053 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.