Triple
T2196348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Tecumseh Sherman |
E49982
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Cump |
E49982
|
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: Cump | Statement: [William Tecumseh Sherman, hasNickname, Cump]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cump Context triple: [William Tecumseh Sherman, hasNickname, Cump]
-
A.
Cump
chosen
Cump is the childhood nickname of William Tecumseh Sherman, the prominent Union general in the American Civil War.
-
B.
Cru
Cru is the official three-letter IAU abbreviation for the southern constellation Crux, also known as the Southern Cross.
-
C.
Clem
Clem is a short, informal given name typically used as a diminutive of Clement.
-
D.
Chump
"Chump" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
-
E.
Champ
Champ is the Dallas Mavericks’ horse-themed team mascot known for energizing crowds at their NBA games.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf77e4f08190a1f5ea601d306596 |
completed | March 7, 2026, 6:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db7af9881908348ce1ad35f247a |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.