Triple
T1515511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Appleton Longfellow |
E32108
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Appleton |
E90912
|
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: Appleton | Statement: [Charles Appleton Longfellow, hasMiddleName, Appleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Appleton Context triple: [Charles Appleton Longfellow, hasMiddleName, Appleton]
-
A.
Appleton
chosen
Appleton is a mid-sized city in eastern Wisconsin known for its paper industry heritage, proximity to the Fox River, and role as a regional economic and cultural center.
-
B.
Hartland
Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
-
C.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
-
D.
Marshfield
Marshfield is a coastal town in Plymouth County, Massachusetts, known for its beaches along Cape Cod Bay and its New England seaside character.
-
E.
Canton
Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907da75388190bfbdbedbd46adbdc |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308dba548190b81999135210cc96 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 4, 2026, 7:26 p.m.