Triple
T38106675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serena |
E951533
|
entity |
| Predicate | educationInstitutionInStory |
P108926
|
FINISHED |
| Object | UCLA (fictionalized) |
—
|
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: UCLA (fictionalized) | Statement: [Serena, educationInstitutionInStory, UCLA (fictionalized)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationInstitutionInStory Context triple: [Serena, educationInstitutionInStory, UCLA (fictionalized)]
-
A.
educationLocation
Indicates the place or institution where an entity received education or underwent formal learning.
-
B.
schoolOf
chosen
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
-
C.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
D.
educationalInstitutionServed
Indicates that one entity provides services, support, or resources to a particular educational institution.
-
E.
trainingInstitution
Indicates that one entity serves as the institution or organization where another entity receives training or education.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:21 p.m.