Triple
T10868812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peng Shuai |
E256596
|
entity |
| Predicate | playsEvent |
P32813
|
FINISHED |
| Object | women’s 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: women’s singles | Statement: [Peng Shuai, playsEvent, women’s singles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsEvent Context triple: [Peng Shuai, playsEvent, women’s singles]
-
A.
playsProfessional
Indicates that one entity participates in a sport, game, or performance at a professional level for compensation or as a primary occupation in relation to another entity (such as a team, league, or organization).
-
B.
playIn
chosen
Indicates that an entity participates or performs in a particular event, context, or location (such as a game, match, or venue).
-
C.
plays
Indicates that an entity engages in or performs an activity, game, role, or piece of music.
-
D.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular event.
-
E.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75170665881909944f92c2cdbe7e6 |
completed | April 9, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.