Triple
T4480819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kori Rae |
E100127
|
entity |
| Predicate | sharesProfessionWithSpouse |
P4765
|
FINISHED |
| Object | film producer |
—
|
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: film producer | Statement: [Kori Rae, sharesProfessionWithSpouse, film producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesProfessionWithSpouse Context triple: [Kori Rae, sharesProfessionWithSpouse, film producer]
-
A.
spouseOccupation
chosen
Indicates that one person’s spouse has a particular job, profession, or occupation.
-
B.
spouseFamily
Indicates a family relationship formed through marriage, such as between a person and their spouse’s relatives.
-
C.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
D.
sharesProfessionWith
Indicates that two entities have the same profession or occupational role.
-
E.
spouse
Indicates that two entities are married to each other in a legally or socially recognized partnership.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:36 p.m.