Triple
T33140741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chan Peng Soon |
E848140
|
entity |
| Predicate | partnerInMixedDoubles |
P44416
|
FINISHED |
| Object | Goh Liu Ying |
—
|
NE NERFINISHED |
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: Goh Liu Ying | Statement: [Chan Peng Soon, partnerInMixedDoubles, Goh Liu Ying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInMixedDoubles Context triple: [Chan Peng Soon, partnerInMixedDoubles, Goh Liu Ying]
-
A.
hasDoublesPartner
chosen
Indicates that one entity serves as the doubles partner of another in a paired or team-based activity or sport.
-
B.
mixedDoublesChampions
Indicates that the related entities together won a mixed doubles championship in a given event or competition.
-
C.
partnerInLoveTeam
Indicates that two entities are teammates who are also partners in a romantic or love-based relationship.
-
D.
hasMixedDoublesEquivalent
Indicates that one entity corresponds to or serves as the mixed doubles counterpart or equivalent of another entity.
-
E.
isTwinRowingPartnerOf
Indicates that two individuals are twin siblings who row together as partners in a rowing team or boat.
- 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: May 1, 2026, 1:28 a.m.