Triple
T14944109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Bergen |
E372607
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Kris Bergen |
E1111552
|
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: Kris Bergen | Statement: [Frances Bergen, child, Kris Bergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kris Bergen Context triple: [Frances Bergen, child, Kris Bergen]
-
A.
Kris Bergen
chosen
Kris Bergen is known primarily as the daughter of famed American ventriloquist and actor Edgar Bergen.
-
B.
Kris Bergsnes
Kris Bergsnes is a music producer known for his work on the track "Kill the Lights."
-
C.
Kris Thykier
Kris Thykier is a British film and television producer known for working on projects such as "Kick-Ass," "The Debt," and various high-profile UK and international productions.
-
D.
Kris Swanberg
Kris Swanberg is an American filmmaker and former independent ice cream business owner known for her work in the Chicago indie film scene.
-
E.
Kristan Sprague
Kristan Sprague is a film editor best known for his work on the acclaimed historical drama "Judas and the Black Messiah."
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68d20048190a403af85fe43dede |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9484e8819086ca6a59d672e49d |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:38 a.m.