Triple
T7399797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy Berger |
E170716
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Berger |
E475344
|
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: Berger | Statement: [Sandy Berger, familyName, Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berger Context triple: [Sandy Berger, familyName, Berger]
-
A.
Berger
chosen
Berger is a common German-origin surname borne by numerous notable individuals across politics, arts, sports, and academia.
-
B.
Spitz
Spitz is the fierce and ruthless lead sled dog who serves as Buck’s primary canine antagonist in Jack London’s novel "The Call of the Wild."
-
C.
Bouvier
Bouvier is the maiden surname of Jacqueline Kennedy Onassis, associated with a prominent American socialite and political family.
-
D.
Bracco
Bracco is an Italian surname most notably associated with actress Lorraine Bracco, known for her roles in "Goodfellas" and "The Sopranos."
-
E.
Basset
Basset is a surname and term most commonly associated with the Basset Hound dog breed and with various historical families and individuals bearing that name.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f24dbf288190b8dfea455148841b |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8110b6ffc819080f65c590f6ac156 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.