Triple

T22803346
Position Surface form Disambiguated ID Type / Status
Subject The Capture E564462 entity
Predicate creator P184 FINISHED
Object Ben Chanan
Ben Chanan is a British television writer, director, and producer best known for creating the conspiracy thriller series "The Capture."
 E1555764 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: Ben Chanan | Statement: [The Capture, creator, Ben Chanan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ben Chanan
Context triple: [The Capture, creator, Ben Chanan]
  • A. Ben Tish
    Ben Tish is a British chef, restaurateur, and food writer known for his Mediterranean-influenced cooking and appearances on UK television.
  • B. David Tuvia
    David Tuvia was an architect known for designing the historic Ben-Gurion House in Tel Aviv, the former residence of Israel’s first prime minister David Ben-Gurion.
  • C. Gad Yaacobi
    Gad Yaacobi was an Israeli politician and diplomat who held several ministerial posts, later serving as Israel’s ambassador to the United Nations.
  • D. Chaim Katzman
    Chaim Katzman is an Israeli real estate entrepreneur and investor best known as the founder and longtime leader of the global real estate company Gazit-Globe.
  • E. Ben Dorfman
    Ben Dorfman is a fictional character in Woody Allen’s 2016 romantic comedy film "Café Society."
  • 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: Ben Chanan
Triple: [The Capture, creator, Ben Chanan]
Generated description
Ben Chanan is a British television writer, director, and producer best known for creating the conspiracy thriller series "The Capture."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ben Chanan
Target entity description: Ben Chanan is a British television writer, director, and producer best known for creating the conspiracy thriller series "The Capture."
  • A. Ben Tish
    Ben Tish is a British chef, restaurateur, and food writer known for his Mediterranean-influenced cooking and appearances on UK television.
  • B. David Tuvia
    David Tuvia was an architect known for designing the historic Ben-Gurion House in Tel Aviv, the former residence of Israel’s first prime minister David Ben-Gurion.
  • C. Gad Yaacobi
    Gad Yaacobi was an Israeli politician and diplomat who held several ministerial posts, later serving as Israel’s ambassador to the United Nations.
  • D. Chaim Katzman
    Chaim Katzman is an Israeli real estate entrepreneur and investor best known as the founder and longtime leader of the global real estate company Gazit-Globe.
  • E. Ben Dorfman
    Ben Dorfman is a fictional character in Woody Allen’s 2016 romantic comedy film "Café Society."
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5a7c2881909a7aaacddd09f00c completed April 29, 2026, 3:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9b35e08190a3ad478355279253 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba2386bf88190911fe2cd9870023a completed May 18, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba2bae9888190a8d115579643695b completed May 18, 2026, 11:37 p.m.
Created at: April 17, 2026, 3:31 p.m.