Triple
T7292980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Jennings |
E164443
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jennings |
E256723
|
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: Jennings | Statement: [Will Jennings, familyName, Jennings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennings Context triple: [Will Jennings, familyName, Jennings]
-
A.
Jennings
chosen
Jennings is a common English surname borne by numerous notable individuals across fields such as music, sports, politics, and entertainment.
-
B.
Winfield
Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
-
C.
Weldon
Weldon is the middle name of James Weldon Johnson, the influential African American writer, civil rights activist, and leader of the NAACP.
-
D.
Greer
Greer is a surname most notably associated with Hal Greer, a Hall of Fame American basketball player.
-
E.
Greer
Greer is a small city in South Carolina known for its historic downtown, proximity to both Greenville and Spartanburg, and its role as a regional industrial and transportation hub.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6fc5788190b1b339d051f93c22 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e53faa0481909758a7366cbbe99f |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.