Triple
T10339208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Burns |
E243084
|
entity |
| Predicate | nationalityInStory |
P15237
|
FINISHED |
| Object | American |
E22033
|
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: American | Statement: [Frank Burns, nationalityInStory, American]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American Context triple: [Frank Burns, nationalityInStory, American]
-
A.
American
chosen
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.
-
B.
AMERICAN
AMERICAN is the radio callsign used by pilots and air traffic control to identify flights operated by American Airlines.
-
C.
Americal
Americal was the nickname of the U.S. Army’s 23rd Infantry Division, a World War II–era unit known for its service in the Pacific Theater and later in the Vietnam War.
-
D.
European American
European Americans are U.S. residents whose ancestry traces primarily to the various peoples and nations of Europe.
-
E.
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.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a470948190959f298dd6110bf3 |
completed | April 7, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7506a07888190b91e78247e81fe57 |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:54 a.m.