Triple
T36895796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil Chao Sze-tsung |
E911884
|
entity |
| Predicate | offerTarget |
P22295
|
FINISHED |
| Object | potential male suitors for Gigi Chao |
—
|
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: potential male suitors for Gigi Chao | Statement: [Cecil Chao Sze-tsung, offerTarget, potential male suitors for Gigi Chao]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offerTarget Context triple: [Cecil Chao Sze-tsung, offerTarget, potential male suitors for Gigi Chao]
-
A.
offersInterface
Indicates that one entity provides or exposes a specific interface that another entity can use or interact with.
-
B.
offering
chosen
Indicates that one entity presents or provides something to another entity, typically as a gift, contribution, or proposal.
-
C.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
D.
offersChoiceTo
Indicates that one entity presents one or more options for selection to another entity.
-
E.
offersAward
Indicates that one entity grants or makes available an award or prize to another entity.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: May 3, 2026, 4:13 p.m.