Triple
T11966734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomas Brolin |
E284807
|
entity |
| Predicate | SvenskaDagbladetGoldMedalYear |
P102542
|
FINISHED |
| Object | 1994 |
—
|
LITERAL 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: 1994 | Statement: [Tomas Brolin, SvenskaDagbladetGoldMedalYear, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SvenskaDagbladetGoldMedalYear Context triple: [Tomas Brolin, SvenskaDagbladetGoldMedalYear, 1994]
-
A.
WorldChampionshipGoldMedalYear
Indicates the specific year in which an entity won a gold medal at a world championship event.
-
B.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
-
C.
OlympicSilverMedalYear
Indicates the year in which an entity received a silver medal at the Olympic Games.
-
D.
goldMedalist
Indicates that the subject is the winner of a first-place gold medal in a competition or event.
-
E.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
- F. None of above. chosen
Provenance (4 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:46 p.m.