Triple

T20784706
Position Surface form Disambiguated ID Type / Status
Subject The Green Years E511597 entity
Predicate costumeDesignBy P184 FINISHED
Object Irene
Irene was a prominent Hollywood costume designer renowned for her elegant, sophisticated wardrobe creations in classic films.
E1450297 NE FINISHED

How this triple was built (4 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: [The Green Years, costumeDesignBy, Irene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene
Context triple: [The Green Years, costumeDesignBy, 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. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • D. 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.
  • E. Irena
    Irena is the mysterious and troubled protagonist of the Italian psychological thriller film "La sconosciuta."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Irene
Triple: [The Green Years, costumeDesignBy, Irene]
Generated description
Irene was a prominent Hollywood costume designer renowned for her elegant, sophisticated wardrobe creations in classic films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Irene
Target entity description: Irene was a prominent Hollywood costume designer renowned for her elegant, sophisticated wardrobe creations in classic films.
  • 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. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • D. 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.
  • E. Irena
    Irena is the mysterious and troubled protagonist of the Italian psychological thriller film "La sconosciuta."
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28b4ce88190a45f1c99b58d18eb completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef9bcc6c8190a594a7c083cca572 completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f36a492481908518eba744452df0 completed May 16, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a08f43e36588190a556a19b9dbb738b completed May 16, 2026, 10:48 p.m.
Created at: April 16, 2026, 12:38 p.m.