Triple
T317921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Lindbergh |
E7747
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jon |
E44008
|
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: Jon | Statement: [Jon Lindbergh, givenName, Jon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Context triple: [Jon Lindbergh, givenName, Jon]
-
A.
Jonathan
chosen
Jonathan is a common masculine given name of Hebrew origin, meaning "Yahweh has given."
-
B.
Jason
Jason is a famed hero of Greek mythology best known as the leader of the Argonauts in their quest for the Golden Fleece.
-
C.
Jim
Jim is a common English given name, typically used as a diminutive or familiar form of James.
-
D.
Jamie
Jamie is a given name commonly used as a diminutive or variant of James, and is borne by people of all genders in English-speaking countries.
-
E.
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."
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea67b7588190be394a56498758b6 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a431da3ccc8190955e0cc9e5da7eb9 |
completed | March 1, 2026, 12:32 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.