Triple

T2908683
Position Surface form Disambiguated ID Type / Status
Subject American College of Switzerland E63628 entity
Predicate alumniOccupation P51 FINISHED
Object film actor (Sylvester Stallone) 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 actor (Sylvester Stallone) | Statement: [American College of Switzerland, alumniOccupation, film actor (Sylvester Stallone)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alumniOccupation
Context triple: [American College of Switzerland, alumniOccupation, film actor (Sylvester Stallone)]
  • A. hadAlumniRole
    Indicates that an entity previously held a role or position as an alumnus/alumna of another entity (such as an institution or organization).
  • B. hasAlumni chosen
    Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
  • C. representedOccupation
    Indicates that one entity has served as an official or formal representative of another entity’s occupation or professional role.
  • D. employerOfGraduates
    Indicates that an entity serves as the employing organization for individuals who have graduated from a particular institution or program.
  • E. subjectOccupation
    Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d329c88190b6fcaef0be1799eb completed March 7, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69abdd19bac881908f047d616aca8438 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:11 p.m.