Triple
T35120653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus Ebony Starr Williams |
E1014157
|
entity |
| Predicate | formerWorldNo |
P146400
|
FINISHED |
| Object | 1 in singles |
—
|
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: 1 in singles | Statement: [Venus Ebony Starr Williams, formerWorldNo, 1 in singles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerWorldNo Context triple: [Venus Ebony Starr Williams, formerWorldNo, 1 in singles]
-
A.
formerCountry
Indicates that an entity was previously recognized as a country but no longer holds that status.
-
B.
former
chosen
Indicates that an entity previously held a role, status, or relationship but no longer does so in the present.
-
C.
formerMaster
Indicates that one entity previously held the role of master over another entity, but no longer does so.
-
D.
wasWorldLeaderIn
Indicates that an entity held a position as the primary political leader of a specified country or political entity during a particular time period.
-
E.
formerGround
Indicates that an entity previously served as the ground or base for another entity but no longer holds that role.
- 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0045a7b4c081908e4dedabda7cf790 |
completed | May 10, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_6a0042b148a48190974b173f352e4b7f |
completed | May 10, 2026, 8:32 a.m. |
Created at: May 3, 2026, 4:01 p.m.