Triple

T4267490
Position Surface form Disambiguated ID Type / Status
Subject Eduardo Saverin E96859 entity
Predicate notableMediaAppearance P10205 FINISHED
Object subject of coverage related to Facebook IPO 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: subject of coverage related to Facebook IPO | Statement: [Eduardo Saverin, notableMediaAppearance, subject of coverage related to Facebook IPO]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableMediaAppearance
Context triple: [Eduardo Saverin, notableMediaAppearance, subject of coverage related to Facebook IPO]
  • A. notableAppearance chosen
    Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
  • B. notableMedia
    Indicates a relationship where a media work is recognized as significant, prominent, or especially relevant in connection with a given entity.
  • C. notableProgramInvolvement
    Indicates that an entity has a significant or distinguished role or participation in a particular program.
  • D. notablePersonDiscussed
    Indicates that the subject entity includes or features a discussion about the referenced notable person.
  • E. usedByNotablePerson
    Indicates that something is or has been used by a person who is widely recognized or notable.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34fce710481909d90ed4a3d150fde completed March 12, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69b347f8dcb08190a725c1f7fb5a7466 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.