Triple

T20844468
Position Surface form Disambiguated ID Type / Status
Subject Colleen Moore E513183 entity
Predicate notableWork P4 FINISHED
Object Irene 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: Irene | Statement: [Colleen Moore, notableWork, Irene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene
Context triple: [Colleen Moore, notableWork, Irene]
  • A. Irene
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • B. Irene
    Irene is a small, historically significant village and suburb located just outside Pretoria in South Africa, known for its tranquil, tree-lined streets and dairy farm heritage.
  • C. Irene chosen
    Irene was a prominent Hollywood costume designer renowned for her elegant, sophisticated wardrobe creations in classic films.
  • D. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • E. Irene Angelina
    Irene Angelina was a Byzantine princess who became Holy Roman Empress and Queen of Sicily through her marriage to Emperor Philip of Swabia.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34deef88190992b959b83bc59b1 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.