Triple

T12188004
Position Surface form Disambiguated ID Type / Status
Subject Midnight Express E290385 entity
Predicate starring P1507 FINISHED
Object Irene Miracle
Irene Miracle is an American actress best known for her award-winning performance in the 1978 film "Midnight Express."
E967841 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 Miracle | Statement: [Midnight Express, starring, Irene Miracle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene Miracle
Context triple: [Midnight Express, starring, Irene Miracle]
  • A. Irene Miller
    Irene Miller is best known as the former wife of American character actor Martin Balsam.
  • B. Irene Skillington
    Irene Skillington is an actress who appeared in the British television drama film "Stuart: A Life Backwards."
  • C. Irene Ramp
    Irene Ramp is known as the spouse of American screenwriter, actor, and director Buck Henry.
  • 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. Miriam Noel
    Miriam Noel was an American woman best known as the second wife of architect Frank Lloyd Wright, with whom she had a tumultuous and highly publicized relationship in the early 20th century.
  • 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 Miracle
Triple: [Midnight Express, starring, Irene Miracle]
Generated description
Irene Miracle is an American actress best known for her award-winning performance in the 1978 film "Midnight Express."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Irene Miracle
Target entity description: Irene Miracle is an American actress best known for her award-winning performance in the 1978 film "Midnight Express."
  • A. Irene Miller
    Irene Miller is best known as the former wife of American character actor Martin Balsam.
  • B. Irene Skillington
    Irene Skillington is an actress who appeared in the British television drama film "Stuart: A Life Backwards."
  • C. Irene Ramp
    Irene Ramp is known as the spouse of American screenwriter, actor, and director Buck Henry.
  • 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. Miriam Noel
    Miriam Noel was an American woman best known as the second wife of architect Frank Lloyd Wright, with whom she had a tumultuous and highly publicized relationship in the early 20th century.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d916012c2c819085824332ad60059e completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6b0a84c8190ae593e368c13b5a5 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7e1788190b1df4fdfd96118d0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f604c4ef7c8190bc128b1aa535744d completed May 2, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:50 p.m.