Triple
T38536904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campion School, Mumbai |
E924725
|
entity |
| Predicate | alumniInField |
P89630
|
FINISHED |
| Object | Indian cinema |
—
|
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: Indian cinema | Statement: [Campion School, Mumbai, alumniInField, Indian cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alumniInField Context triple: [Campion School, Mumbai, alumniInField, Indian cinema]
-
A.
hasProfessionalAlumni
chosen
Indicates that an institution or organization has alumni who have gone on to work in a specified profession or professional field.
-
B.
alumniOfProgram
Indicates that a person previously completed or participated in a specific educational or training program.
-
C.
hasAlumniField
Indicates a relationship where an entity is associated with a specific field or area of study in which its alumni specialized or graduated.
-
D.
fieldAssociatedWithAlumnus
Indicates that a particular field of study, profession, or area of expertise is associated with or pursued by a given alumnus.
-
E.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd2e718088190912c2e47fbaf15cb |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.