Triple

T11157641
Position Surface form Disambiguated ID Type / Status
Subject The Lost City E263951 entity
Predicate cinematographer P1953 FINISHED
Object Emmanuel Kadosh
Emmanuel Kadosh is a cinematographer known for his work on the adventure-comedy film "The Lost City."
E909136 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: Emmanuel Kadosh | Statement: [The Lost City, cinematographer, Emmanuel Kadosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuel Kadosh
Context triple: [The Lost City, cinematographer, Emmanuel Kadosh]
  • A. Gideon Porath
    Gideon Porath is a cinematographer best known for his work on the 1996 television film "Doctor Who: The Movie."
  • B. Emanuel
    Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
  • C. Emmanuel
    Emmanuel is a Belgian prince, a member of the royal family of Belgium and the son of King Philippe and Queen Mathilde.
  • D. Emmanuel
    Emmanuel is a masculine given name of Hebrew origin meaning "God is with us," used in various languages and cultures.
  • E. Mark Eliyahu
    Mark Eliyahu is an Israeli composer and kamancheh player known for his evocative blend of Middle Eastern, Caucasian, and contemporary musical styles.
  • 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: Emmanuel Kadosh
Triple: [The Lost City, cinematographer, Emmanuel Kadosh]
Generated description
Emmanuel Kadosh is a cinematographer known for his work on the adventure-comedy film "The Lost City."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emmanuel Kadosh
Target entity description: Emmanuel Kadosh is a cinematographer known for his work on the adventure-comedy film "The Lost City."
  • A. Gideon Porath
    Gideon Porath is a cinematographer best known for his work on the 1996 television film "Doctor Who: The Movie."
  • B. Emanuel
    Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
  • C. Emmanuel
    Emmanuel is a Belgian prince, a member of the royal family of Belgium and the son of King Philippe and Queen Mathilde.
  • D. Emmanuel
    Emmanuel is a masculine given name of Hebrew origin meaning "God is with us," used in various languages and cultures.
  • E. Mark Eliyahu
    Mark Eliyahu is an Israeli composer and kamancheh player known for his evocative blend of Middle Eastern, Caucasian, and contemporary musical styles.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e87fe9a881909540ecc4ed9b6b9f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46352e0688190924f15bc7d7ede90 completed April 19, 2026, 5:08 a.m.
NEDg Description generation batch_69e46c374ca08190a876ee68dea9b821 completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e4747bc02c81908f0782cf85667f3f completed April 19, 2026, 6:21 a.m.
Created at: April 8, 2026, 9:28 p.m.