Triple
T17714466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Norman |
E442159
|
entity |
| Predicate | worldNumberOneRankingWeeks |
P57445
|
FINISHED |
| Object | 331 |
—
|
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: 331 | Statement: [Greg Norman, worldNumberOneRankingWeeks, 331]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldNumberOneRankingWeeks Context triple: [Greg Norman, worldNumberOneRankingWeeks, 331]
-
A.
yearsAsWorldNumberOne
Indicates the number of years an entity held the position of world number one in its field or ranking system.
-
B.
worldNumberOneRankingAchieved
Indicates that an entity has attained the top position in a recognized world ranking within a specific field or domain.
-
C.
consecutiveWeeksAtWorldNo1
chosen
Indicates the number of weeks in a row that an entity has held the world number one ranking.
-
D.
formerWorldNo1
Indicates that the subject was ranked number one in the world in the past, but does not hold that top ranking currently.
-
E.
yearOfHighestSinglesRanking
Indicates the specific year in which an entity achieved its highest-ever singles ranking.
- F. None of above.
Provenance (3 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4747f217081909010f396caaf03be |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:06 a.m.