Triple
T7749281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brock |
E175712
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Gunnar Brock
Gunnar Brock is a Swedish business executive known for leading major industrial companies, including serving as CEO of Atlas Copco and later of Securitas.
|
E686304
|
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: Gunnar Brock | Statement: [Brock, hasNotableBearer, Gunnar Brock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunnar Brock Context triple: [Brock, hasNotableBearer, Gunnar Brock]
-
A.
Gunnar Cauthery
Gunnar Cauthery is an actor best known for his role in the television series "Mars."
-
B.
Gunnar Fant
Gunnar Fant was a pioneering Swedish speech scientist and phonetician renowned for his foundational work on the acoustic theory of speech production.
-
C.
Gunnar Hansen
Gunnar Hansen was an Icelandic-American actor best known for originating the role of Leatherface in the 1974 horror classic "The Texas Chain Saw Massacre."
-
D.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
E.
John Berg
John Berg was an influential American art director and designer best known for creating iconic album covers for Columbia Records during the 1960s and 1970s.
- 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: Gunnar Brock Triple: [Brock, hasNotableBearer, Gunnar Brock]
Generated description
Gunnar Brock is a Swedish business executive known for leading major industrial companies, including serving as CEO of Atlas Copco and later of Securitas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gunnar Brock Target entity description: Gunnar Brock is a Swedish business executive known for leading major industrial companies, including serving as CEO of Atlas Copco and later of Securitas.
-
A.
Gunnar Cauthery
Gunnar Cauthery is an actor best known for his role in the television series "Mars."
-
B.
Gunnar Fant
Gunnar Fant was a pioneering Swedish speech scientist and phonetician renowned for his foundational work on the acoustic theory of speech production.
-
C.
Gunnar Hansen
Gunnar Hansen was an Icelandic-American actor best known for originating the role of Leatherface in the 1974 horror classic "The Texas Chain Saw Massacre."
-
D.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
E.
John Berg
John Berg was an influential American art director and designer best known for creating iconic album covers for Columbia Records during the 1960s and 1970s.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b13af08190b110104fe96ef91e |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be53b3788190a850ce1aaaac3aaa |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8c235b1748190b6c17c5975e2eb9b |
completed | March 29, 2026, 6:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c2f1dd508190853065d9e4e331b2 |
completed | March 29, 2026, 6:13 a.m. |
Created at: March 27, 2026, 4:08 p.m.