Triple
T8868834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teresa Bagioli Sickles |
E211093
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sickles |
E696451
|
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: Sickles | Statement: [Teresa Bagioli Sickles, familyName, Sickles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sickles Context triple: [Teresa Bagioli Sickles, familyName, Sickles]
-
A.
Sickles
chosen
Sickles is a surname most notably associated with Daniel Sickles, a controversial 19th-century American politician, Civil War general, and diplomat.
-
B.
Tin Lizzie
Tin Lizzie is the popular nickname for the Ford Model T, the early 20th-century automobile that revolutionized mass car production and personal transportation.
-
C.
Scoggins
Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
-
D.
Easton Stick
Easton Stick is an American football quarterback who starred at North Dakota State University before playing in the NFL.
-
E.
Sledge
Sledge is the surname of American rapper and songwriter Dreezy, whose full name is Seandrea Sledge.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61241d048190aead14a8f5589856 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0e247c88190a97c00ce20f9c1c1 |
completed | April 3, 2026, 11:13 a.m. |
Created at: March 30, 2026, 6:51 p.m.