Triple

T2461348
Position Surface form Disambiguated ID Type / Status
Subject Manchester by the Sea E54540 entity
Predicate producer P490 FINISHED
Object Chris Moore
Chris Moore is an American film producer known for his work on acclaimed independent films, including the Oscar-winning drama "Manchester by the Sea."
E298746 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: Chris Moore | Statement: [Manchester by the Sea, producer, Chris Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Moore
Context triple: [Manchester by the Sea, producer, Chris Moore]
  • A. Nick Moore
    Nick Moore is a British film editor best known for his work on popular films such as "Love Actually."
  • B. Rich Moore
    Rich Moore is an American animation director and filmmaker best known for his work on acclaimed Disney films such as "Zootopia" and "Wreck-It Ralph."
  • C. Scott Moore
    Scott Moore is an American screenwriter best known for co-writing the hit comedy film "The Hangover."
  • D. Jeremy Moore
    Jeremy Moore was a British Army lieutenant general best known for commanding UK land forces during the 1982 Falklands War.
  • E. Mike Moore
    Mike Moore was a New Zealand politician who briefly served as the country’s Prime Minister in 1990 and later became Director-General of the World Trade Organization.
  • 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: Chris Moore
Triple: [Manchester by the Sea, producer, Chris Moore]
Generated description
Chris Moore is an American film producer known for his work on acclaimed independent films, including the Oscar-winning drama "Manchester by the Sea."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chris Moore
Target entity description: Chris Moore is an American film producer known for his work on acclaimed independent films, including the Oscar-winning drama "Manchester by the Sea."
  • A. Nick Moore
    Nick Moore is a British film editor best known for his work on popular films such as "Love Actually."
  • B. Rich Moore
    Rich Moore is an American animation director and filmmaker best known for his work on acclaimed Disney films such as "Zootopia" and "Wreck-It Ralph."
  • C. Scott Moore
    Scott Moore is an American screenwriter best known for co-writing the hit comedy film "The Hangover."
  • D. Jeremy Moore
    Jeremy Moore was a British Army lieutenant general best known for commanding UK land forces during the 1982 Falklands War.
  • E. Mike Moore
    Mike Moore was a New Zealand politician who briefly served as the country’s Prime Minister in 1990 and later became Director-General of the World Trade Organization.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd11c47408190b10c7f6a151f2db2 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc62dc38c8190a392c4179a78ae97 completed March 10, 2026, 7:20 a.m.
NEDg Description generation batch_69afc6b723f48190b93df0dc2de6c839 completed March 10, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69afc750fee08190bf3c112f6f204af4 completed March 10, 2026, 7:25 a.m.
Created at: March 6, 2026, 9:44 p.m.