Triple

T2584023
Position Surface form Disambiguated ID Type / Status
Subject Minskoff Theatre E57156 entity
Predicate previousProduction P40515 FINISHED
Object Irene E76766 NE FINISHED

How this triple was built (3 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: Irene | Statement: [Minskoff Theatre, previousProduction, Irene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene
Context triple: [Minskoff Theatre, previousProduction, Irene]
  • A. Irene chosen
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • B. Helene
    Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • C. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • D. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • E. Christa
    Christa was the first name of Christa McAuliffe, the American teacher and astronaut selected as the first private citizen to fly in space.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousProduction
Context triple: [Minskoff Theatre, previousProduction, Irene]
  • A. laterProducedBy
    Indicates that something is produced or created by an entity at a later time than some referenced or implied production event.
  • B. previousAlbum
    Indicates that one album directly precedes another album in an artist’s discography or release sequence.
  • C. previousWorkReleaseYear
    Indicates the year in which an earlier or prior work in a sequence or related set was released.
  • D. hasProduction
    Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
  • E. premieredInProduction
    Indicates that a work (such as a play, film, or performance) had its first public showing or debut in a specific production.
  • F. None of above. chosen

Provenance (5 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3cb33a08190a3eae1a95e1b63bf completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657f39dc8190971e0ad7a5396257 completed March 10, 2026, 12:27 a.m.
PD Predicate disambiguation batch_69abd0d19308819089ee942513d567a4 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd37ef248819090ab6b86b67e355f completed March 7, 2026, 7:27 a.m.
Created at: March 6, 2026, 9:49 p.m.