Triple
T7542495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel S. Dickinson |
E178312
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | European American |
E4805
|
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: European American | Statement: [Daniel S. Dickinson, hasEthnicGroup, European American]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: European American Context triple: [Daniel S. Dickinson, hasEthnicGroup, European American]
-
A.
European American
chosen
European Americans are U.S. residents whose ancestry traces primarily to the various peoples and nations of Europe.
-
B.
American
American refers to a person from or associated with the United States of America, typically holding its citizenship and sharing in its national culture and identity.
-
C.
AMERICAN
AMERICAN is the radio callsign used by pilots and air traffic control to identify flights operated by American Airlines.
-
D.
All American
"All American" is the nickname and motto of the U.S. Army's 82nd Airborne Division, reflecting its origins as a unit composed of soldiers from all 48 states.
-
E.
All American
All American is a 2018–present American sports drama television series inspired by the life of former NFL player Spencer Paysinger, focusing on a high school football star navigating class, family, and identity.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8762b048190a0b262f9cb3fe1b0 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f1d1e148190be015c62ae1ea1e8 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.