Triple
T24587559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Evert |
E608438
|
entity |
| Predicate | formerWorldRanking |
P9283
|
FINISHED |
| Object | world No. 1 |
—
|
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: world No. 1 | Statement: [Chris Evert, formerWorldRanking, world No. 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerWorldRanking Context triple: [Chris Evert, formerWorldRanking, world No. 1]
-
A.
formerRanking
Indicates that an entity previously held a particular rank or position but no longer does so.
-
B.
formerWorldNo1
chosen
Indicates that the subject was ranked number one in the world in the past, but does not hold that top ranking currently.
-
C.
fifaWorldRankingSystem
Indicates the ranking relationship between national football teams as determined by FIFA’s official world ranking system.
-
D.
fifaWorldRankingPeakPosition
Indicates the highest (best) position an entity has ever achieved in the official FIFA world rankings.
-
E.
fihWorldRankingTop10
Indicates that the entity is ranked within the top 10 in the FIH (International Hockey Federation) world rankings.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a988393c81909f0292e9b35441d2 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.