Triple
T14879097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Fagerbakke |
E349946
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Hannah Fagerbakke
Hannah Fagerbakke is the daughter of American actor and voice actor Bill Fagerbakke.
|
E1125329
|
NE FINISHED |
How this triple was built (4 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: Hannah Fagerbakke | Statement: [Bill Fagerbakke, hasChild, Hannah Fagerbakke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah Fagerbakke Context triple: [Bill Fagerbakke, hasChild, Hannah Fagerbakke]
-
A.
Hannah Roennfeldt
Hannah Roennfeldt is a grieving Australian mother in the novel "The Light Between Oceans," whose lost child becomes central to the story’s moral and emotional conflict.
-
B.
Alexandra Gade
Alexandra Gade is a nuclear physicist recognized for her significant contributions to experimental nuclear structure research, particularly involving rare isotopes.
-
C.
Natassia Malthe
Natassia Malthe is a Norwegian-Canadian actress and model known for her roles in action and fantasy films and television series.
-
D.
Hannah Berner
Hannah Berner is an American comedian, podcaster, and former cast member of Bravo’s reality series "Summer House."
-
E.
Hanna Tidemand
Hanna Tidemand was the mother of Norwegian romantic nationalist painter Adolph Tidemand, known for his depictions of 19th-century Norwegian rural life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hannah Fagerbakke Triple: [Bill Fagerbakke, hasChild, Hannah Fagerbakke]
Generated description
Hannah Fagerbakke is the daughter of American actor and voice actor Bill Fagerbakke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hannah Fagerbakke Target entity description: Hannah Fagerbakke is the daughter of American actor and voice actor Bill Fagerbakke.
-
A.
Hannah Roennfeldt
Hannah Roennfeldt is a grieving Australian mother in the novel "The Light Between Oceans," whose lost child becomes central to the story’s moral and emotional conflict.
-
B.
Alexandra Gade
Alexandra Gade is a nuclear physicist recognized for her significant contributions to experimental nuclear structure research, particularly involving rare isotopes.
-
C.
Natassia Malthe
Natassia Malthe is a Norwegian-Canadian actress and model known for her roles in action and fantasy films and television series.
-
D.
Hannah Berner
Hannah Berner is an American comedian, podcaster, and former cast member of Bravo’s reality series "Summer House."
-
E.
Hanna Tidemand
Hanna Tidemand was the mother of Norwegian romantic nationalist painter Adolph Tidemand, known for his depictions of 19th-century Norwegian rural life.
- F. None of above. chosen
Provenance (5 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5670108190b41ef95dc318be60 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6d3aa2f08190b02c6157c03a2ba5 |
completed | May 8, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6db30e9c81908fbad7b932799a7a |
completed | May 8, 2026, 11:11 p.m. |
Created at: April 10, 2026, 1:55 a.m.