Triple

T20934591
Position Surface form Disambiguated ID Type / Status
Subject Ray Ozzie E515549 entity
Predicate founded P104 FINISHED
Object Iris Associates 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: Iris Associates | Statement: [Ray Ozzie, founded, Iris Associates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iris Associates
Context triple: [Ray Ozzie, founded, Iris Associates]
  • A. Iris Associates chosen
    Iris Associates was a software development company best known for creating the groupware application Lotus Notes.
  • B. Omar Associates
    Omar Associates is a Pakistani business group best known in sports for owning the Pakistan Super League franchise Quetta Gladiators.
  • C. Argyle Enterprises
    Argyle Enterprises is a film production company best known for its involvement in classic mid-20th-century cinema, including the 1963 horror film "The Haunting."
  • D. Omrania and Associates
    Omrania and Associates is a Saudi-based architectural and engineering firm known for designing prominent modern landmarks and large-scale urban projects in the Middle East.
  • E. Drew Associates
    Drew Associates was a pioneering American documentary film production company known for helping to establish the Direct Cinema movement in the 1960s through its innovative, observational style of filmmaking.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f94fc194819099df82357a7f33c7 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:49 p.m.