Triple
T6546255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Ferguson |
E151014
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Isaac Hallberg
Isaac Hallberg is the son of Swedish actress Rebecca Ferguson and her former partner Ludwig Hallberg.
|
E604450
|
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: Isaac Hallberg | Statement: [Rebecca Ferguson, hasChild, Isaac Hallberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isaac Hallberg Context triple: [Rebecca Ferguson, hasChild, Isaac Hallberg]
-
A.
Anders Hallberg
Anders Hallberg is a Swedish chemist and academic leader who served as the rector (vice-chancellor) of Uppsala University.
-
B.
Emil Tidemand
Emil Tidemand was a 19th-century Norwegian painter and the brother of the renowned national romantic artist Adolph Tidemand.
-
C.
Jonas Alströmer
Jonas Alströmer was an 18th-century Swedish industrialist and agricultural reformer who played a key role in modernizing Sweden’s economy and scientific institutions.
-
D.
Jacob Forsell
Jacob Forsell is a Swedish photographer and writer known for his work on the documentary "Ingrid Bergman: In Her Own Words."
-
E.
Christopher Akerlind
Christopher Akerlind is an American lighting designer renowned for his work in theatre, opera, and Broadway productions, including multiple award-winning designs.
- 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: Isaac Hallberg Triple: [Rebecca Ferguson, hasChild, Isaac Hallberg]
Generated description
Isaac Hallberg is the son of Swedish actress Rebecca Ferguson and her former partner Ludwig Hallberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Isaac Hallberg Target entity description: Isaac Hallberg is the son of Swedish actress Rebecca Ferguson and her former partner Ludwig Hallberg.
-
A.
Anders Hallberg
Anders Hallberg is a Swedish chemist and academic leader who served as the rector (vice-chancellor) of Uppsala University.
-
B.
Emil Tidemand
Emil Tidemand was a 19th-century Norwegian painter and the brother of the renowned national romantic artist Adolph Tidemand.
-
C.
Jonas Alströmer
Jonas Alströmer was an 18th-century Swedish industrialist and agricultural reformer who played a key role in modernizing Sweden’s economy and scientific institutions.
-
D.
Jacob Forsell
Jacob Forsell is a Swedish photographer and writer known for his work on the documentary "Ingrid Bergman: In Her Own Words."
-
E.
Christopher Akerlind
Christopher Akerlind is an American lighting designer renowned for his work in theatre, opera, and Broadway productions, including multiple award-winning designs.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adf00aa48190a86a9ad4795363d9 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d54b6d8c819083595375194aee12 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6acc2208190ac47c60bb896c1cd |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d83b53e48190881a3e1e8fa8b168 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:50 p.m.