Triple
T36432356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Wills Moody |
E897476
|
entity |
| Predicate | numberOfYearsAtWorldNo1 |
P50943
|
FINISHED |
| Object | approximately 9 |
—
|
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: approximately 9 | Statement: [Helen Wills Moody, numberOfYearsAtWorldNo1, approximately 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfYearsAtWorldNo1 Context triple: [Helen Wills Moody, numberOfYearsAtWorldNo1, approximately 9]
-
A.
yearsAsWorldNumberOne
chosen
Indicates the number of years an entity held the position of world number one in its field or ranking system.
-
B.
consecutiveWeeksAtWorldNo1
Indicates the number of weeks in a row that an entity has held the world number one ranking.
-
C.
wasRankedWorldNumberOneUntil
Indicates that an entity held the world number one ranking in a given domain up to, but not beyond, a specified time.
-
D.
worldNumberOneRankingAchieved
Indicates that an entity has attained the top position in a recognized world ranking within a specific field or domain.
-
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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.