Triple
T2768359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey |
E61391
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Jeffery |
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: Jeffery | Statement: [Jeffrey, hasVariant, Jeffery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffery Context triple: [Jeffrey, hasVariant, Jeffery]
-
A.
Jeffrey
chosen
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
B.
Jeffrey Byron
Jeffrey Byron is an American actor known for his work in film and television since the 1960s, including roles in genre and action productions.
-
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.
Jonathan
Jonathan is a common masculine given name of Hebrew origin, meaning "Yahweh has given."
-
E.
David Jeffrey
David Jeffrey is a highly successful Northern Irish football manager and former player, best known for his trophy-laden spell in charge of Linfield FC.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd667c4881909aa582c630c8e3ab |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc04b59448190b51ce14f19bd3381 |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.