Triple
T5540264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Jakobson |
E145270
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object |
Gunnar Fant
Gunnar Fant was a pioneering Swedish speech scientist and phonetician renowned for his foundational work on the acoustic theory of speech production.
|
E530432
|
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 Fant | Statement: [Roman Jakobson, coAuthor, Gunnar Fant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunnar Fant Context triple: [Roman Jakobson, coAuthor, Gunnar Fant]
-
A.
Gunnar Cauthery
Gunnar Cauthery is an actor best known for his role in the television series "Mars."
-
B.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
C.
Ulf Danielsson
Ulf Danielsson is a Swedish theoretical physicist and cosmologist known for his work on string theory and the fundamental nature of the universe.
-
D.
Thorolf Rafto
Thorolf Rafto was a Norwegian human rights advocate and professor of economics whose legacy is honored through the international Rafto Prize for human rights.
-
E.
Harald Grenske
Harald Grenske was a 10th-century Norwegian petty king of Vestfold and father of Saint Olaf II, who later became king and patron saint of Norway.
- 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 Fant Triple: [Roman Jakobson, coAuthor, Gunnar Fant]
Generated description
Gunnar Fant was a pioneering Swedish speech scientist and phonetician renowned for his foundational work on the acoustic theory of speech production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gunnar Fant Target entity description: Gunnar Fant was a pioneering Swedish speech scientist and phonetician renowned for his foundational work on the acoustic theory of speech production.
-
A.
Gunnar Cauthery
Gunnar Cauthery is an actor best known for his role in the television series "Mars."
-
B.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
C.
Ulf Danielsson
Ulf Danielsson is a Swedish theoretical physicist and cosmologist known for his work on string theory and the fundamental nature of the universe.
-
D.
Thorolf Rafto
Thorolf Rafto was a Norwegian human rights advocate and professor of economics whose legacy is honored through the international Rafto Prize for human rights.
-
E.
Harald Grenske
Harald Grenske was a 10th-century Norwegian petty king of Vestfold and father of Saint Olaf II, who later became king and patron saint of Norway.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb487648190948493fe96cec0ff |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0281bfcc48190a0e4e51b4dca5a4b |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c0362dc2648190b1cb81d6aa3050da |
completed | March 22, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c036adf9ac8190aed5688d67e52304 |
completed | March 22, 2026, 6:36 p.m. |
Created at: March 22, 2026, 3:35 p.m.