Triple
T15727114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Fischer |
E381245
|
entity |
| Predicate | youngestUSChampionYear |
P119949
|
FINISHED |
| Object | 1957 |
—
|
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: 1957 | Statement: [Bobby Fischer, youngestUSChampionYear, 1957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngestUSChampionYear Context triple: [Bobby Fischer, youngestUSChampionYear, 1957]
-
A.
U.S.NationalChampionYears
Indicates the years in which an entity held a U.S. national champion title in a particular sport or competitive field.
-
B.
ALCyYoungYear
Indicates that a player received the American League Cy Young Award in the specified year.
-
C.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
-
D.
typicalAgeOfWinner
Indicates the age that is most commonly observed for entities that win a particular competition, award, or event.
-
E.
youthOlympicDebutYear
Indicates the year in which an entity first participated in or was introduced to the Youth Olympic Games.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb4cc0081909efe330339474017 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0094af5b481908ad51d5d7ba0c726 |
completed | April 15, 2026, 9:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.