Triple

T11202485
Position Surface form Disambiguated ID Type / Status
Subject Faces E265073 entity
Predicate producer P490 FINISHED
Object Al Ruban
Al Ruban is an American film producer and cinematographer best known for his longtime collaboration with director John Cassavetes on several influential independent films.
E911789 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: Al Ruban | Statement: [Faces, producer, Al Ruban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Ruban
Context triple: [Faces, producer, Al Ruban]
  • A. Rasual
    Rasual is the given name of Rasual Butler, an American professional basketball player who competed in the NBA.
  • B. Rasuil
    Rasuil is an alternative name for Raguel, an archangel in various Jewish and Christian traditions often associated with justice, harmony, and fairness.
  • C. Rabil
    Rabil is a small town on the island of Boa Vista in Cape Verde, known for its proximity to beaches, dunes, and the island’s airport.
  • D. Al Malaki
    Al Malaki is a popular nickname for Al Ahli Saudi FC, one of Saudi Arabia’s most prominent and historically successful football clubs.
  • E. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • 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: Al Ruban
Triple: [Faces, producer, Al Ruban]
Generated description
Al Ruban is an American film producer and cinematographer best known for his longtime collaboration with director John Cassavetes on several influential independent films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al Ruban
Target entity description: Al Ruban is an American film producer and cinematographer best known for his longtime collaboration with director John Cassavetes on several influential independent films.
  • A. Rasual
    Rasual is the given name of Rasual Butler, an American professional basketball player who competed in the NBA.
  • B. Rasuil
    Rasuil is an alternative name for Raguel, an archangel in various Jewish and Christian traditions often associated with justice, harmony, and fairness.
  • C. Rabil
    Rabil is a small town on the island of Boa Vista in Cape Verde, known for its proximity to beaches, dunes, and the island’s airport.
  • D. Al Malaki
    Al Malaki is a popular nickname for Al Ahli Saudi FC, one of Saudi Arabia’s most prominent and historically successful football clubs.
  • E. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c36c188190bfa4d5f8e6cbbbea completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4971d537c8190ab53a2ca18d643f3 completed April 19, 2026, 8:49 a.m.
NEDg Description generation batch_69e49c09844881908e0d95ba3f239024 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e7f8b108190bb69f532adf25809 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:29 p.m.