Triple
T16164697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tupelo |
E392272
|
entity |
| Predicate | commanderUnion |
P1197
|
FINISHED |
| Object | Andrew J. Smith |
E1247294
|
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: Andrew J. Smith | Statement: [Battle of Tupelo, commanderUnion, Andrew J. Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew J. Smith Context triple: [Battle of Tupelo, commanderUnion, Andrew J. Smith]
-
A.
Andrew J. Smith
chosen
Andrew J. Smith was a Union Army major general during the American Civil War, known for his leadership in several key Western Theater campaigns.
-
B.
Brian D. Smith
Brian D. Smith is a screenwriter known for collaborating on film and television projects, including co-writing work with Carey Van Dyke.
-
C.
Brian J. Smith
Brian J. Smith is an American actor best known for his role as Will Gorski in the science fiction series Sense8 and for his work in television, film, and theater.
-
D.
Jason A. Smith
Jason A. Smith is an American attorney and congressional procedural expert who previously served as the Parliamentarian of the U.S. House of Representatives.
-
E.
Mark L. Smith
Mark L. Smith is an American screenwriter best known for his work on intense genre films, including co-writing the Oscar-winning survival drama "The Revenant."
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e622ae481909f3cf25b38886d3a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139e380bc81908452f6e8666f23ad |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:02 a.m.