Triple

T9983690
Position Surface form Disambiguated ID Type / Status
Subject Miracle Mile E196513 entity
Predicate editedBy P1954 FINISHED
Object Dora Esmailian
Dora Esmailian is a film editor known for her work on the movie "Miracle Mile."
E834231 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: Dora Esmailian | Statement: [Miracle Mile, editedBy, Dora Esmailian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dora Esmailian
Context triple: [Miracle Mile, editedBy, Dora Esmailian]
  • A. Zahra Rahnavard
    Zahra Rahnavard is an Iranian academic, artist, and political activist known for her prominent role in the Iranian reform movement and as a leading female figure in the 2009 Green Movement.
  • B. Laleh
    Laleh is an Iranian-Swedish singer-songwriter, producer, and former actress known for her eclectic pop music and introspective lyrics.
  • C. Zahra Sadeghi
    Zahra Sadeghi is an Iranian figure best known as the wife of former Iranian president Mohammad Khatami.
  • D. Zahra Kazemi
    Zahra Kazemi was an Iranian-Canadian photojournalist whose death in Iranian custody in 2003 drew international condemnation and became a symbol of press repression and human rights abuses in Iran.
  • E. Elika J. Etemad
    Elika J. Etemad, also known as "fantasai," is a prominent web standards expert and specification editor heavily involved in the development of CSS for the World Wide Web Consortium (W3C).
  • 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: Dora Esmailian
Triple: [Miracle Mile, editedBy, Dora Esmailian]
Generated description
Dora Esmailian is a film editor known for her work on the movie "Miracle Mile."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dora Esmailian
Target entity description: Dora Esmailian is a film editor known for her work on the movie "Miracle Mile."
  • A. Zahra Rahnavard
    Zahra Rahnavard is an Iranian academic, artist, and political activist known for her prominent role in the Iranian reform movement and as a leading female figure in the 2009 Green Movement.
  • B. Laleh
    Laleh is an Iranian-Swedish singer-songwriter, producer, and former actress known for her eclectic pop music and introspective lyrics.
  • C. Zahra Sadeghi
    Zahra Sadeghi is an Iranian figure best known as the wife of former Iranian president Mohammad Khatami.
  • D. Zahra Kazemi
    Zahra Kazemi was an Iranian-Canadian photojournalist whose death in Iranian custody in 2003 drew international condemnation and became a symbol of press repression and human rights abuses in Iran.
  • E. Elika J. Etemad
    Elika J. Etemad, also known as "fantasai," is a prominent web standards expert and specification editor heavily involved in the development of CSS for the World Wide Web Consortium (W3C).
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bdc0388190bbbd4bdc5ac3adec completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257f3c59481909b90896be0f3a870 completed April 5, 2026, 12:39 p.m.
NEDg Description generation batch_69d25889b0f08190a28c5401417fe3cc completed April 5, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_69d25981db3c8190b7b4935cdcc1fe1c completed April 5, 2026, 12:45 p.m.
Created at: March 30, 2026, 8:49 p.m.