Triple
T17901737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabiana Udenio |
E447595
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Summer School |
—
|
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: Summer School | Statement: [Fabiana Udenio, notableWork, Summer School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Summer School Context triple: [Fabiana Udenio, notableWork, Summer School]
-
A.
Summer School
chosen
"Summer School" is a 1987 comedy film starring Mark Harmon as a laid-back high school gym teacher forced to teach remedial English over the summer.
-
B.
Harvard Summer School
Harvard Summer School is Harvard University's open-enrollment summer division offering a wide range of undergraduate, graduate, and professional courses to students from around the world.
-
C.
College Holiday
College Holiday is a 1936 American musical comedy film featuring Gracie Allen in a prominent comedic role.
-
D.
Summerbridge
Summerbridge is a small rural village in North Yorkshire, England, situated within the scenic Nidderdale valley.
-
E.
Bauhaus Summer School
Bauhaus Summer School is an international academic program in Weimar offering short-term courses and workshops in art, design, architecture, media, and related fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e98fb688190815ac308e5ed7fde |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.