Triple
T23156860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Long |
E578461
|
entity |
| Predicate | hasCapitalizationVariant |
P12011
|
FINISHED |
| Object | "Delong" |
—
|
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: "Delong" | Statement: [De Long, hasCapitalizationVariant, "Delong"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Delong" Context triple: [De Long, hasCapitalizationVariant, "Delong"]
-
A.
"DeLong"
DeLong is a surname most notably associated with American economist J. Bradford DeLong, known for his work in macroeconomics and economic history.
-
B.
Delong
chosen
Delong is a surname and variant spelling of "De Long," borne by various individuals and families.
-
C.
Dellner
Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
-
D.
Lange
Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
-
E.
De Longo
De Longo is a variant form of the surname Longo, typically of Italian origin.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efe1b0081908e81b757d64c067c |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.