Triple
T22354361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon |
E552612
|
entity |
| Predicate | relationshipTypeWithWei-TungGao |
P147884
|
FINISHED |
| Object | same-sex romantic partnership |
—
|
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: same-sex romantic partnership | Statement: [Simon, relationshipTypeWithWei-TungGao, same-sex romantic partnership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithWei-TungGao Context triple: [Simon, relationshipTypeWithWei-TungGao, same-sex romantic partnership]
-
A.
relationshipTypeWith W. O. Gant
Indicates the specific nature or category of relational connection that an entity has with W. O. Gant.
-
B.
relationshipTypeWithEvelynWang
Indicates the specific nature or category of relationship that an entity has with Evelyn Wang.
-
C.
relationshipTypeWith Eugene Gant
Indicates the specific nature or category of relationship that an entity has with Eugene Gant.
-
D.
relationshipTypeWith Suzie Wong
Indicates the specific nature or category of relationship that an entity has with Suzie Wong.
-
E.
relationshipTypeWithToruWatanabe
Indicates the specific nature or category of relationship that an entity has with Toru Watanabe.
- F. None of above. chosen
Provenance (4 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157ceb2308190941f6507e605a612 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:44 p.m.