Triple
T7022366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff |
E162857
|
entity |
| Predicate | etymologicalOrigin |
P453
|
FINISHED |
| Object | Jeffrey |
E61391
|
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: Jeffrey | Statement: [Jeff, etymologicalOrigin, Jeffrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Context triple: [Jeff, etymologicalOrigin, Jeffrey]
-
A.
Jeffrey
chosen
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
B.
Jeffery
Jeffery is a 2016 mixtape by American rapper Young Thug, known for its experimental sound and striking cover art featuring the artist in an elaborate dress.
-
C.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
D.
Jared
Jared is a village located in Pakistan’s scenic Kaghan Valley, known for its mountainous landscapes and tourism.
-
E.
Jared
Jared is a biblical patriarch in the Book of Genesis, known as a pre-Flood ancestor in the genealogies leading to Noah.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1edf3608190b7ba0bfb85710e97 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c80aae08190a388db9110fdebdf |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 27, 2026, 2:35 p.m.