Triple

T4356196
Position Surface form Disambiguated ID Type / Status
Subject Avatar (2009 film) E98152 entity
Predicate castMember P1668 FINISHED
Object Joel David Moore
Joel David Moore is an American actor and director best known for his roles in films like "Avatar" and the TV series "Bones."
E436771 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: Joel David Moore | Statement: [Avatar (2009 film), castMember, Joel David Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel David Moore
Context triple: [Avatar (2009 film), castMember, Joel David Moore]
  • A. Luke Goss
    Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
  • B. Bill Hartnett
    Bill Hartnett is a person notable enough to be recognized as a bearer of the surname Hartnett, though specific widely known achievements or roles are not clearly documented.
  • C. Anthony Redman
    Anthony Redman is a film editor best known for his work on the 1990 crime drama "King of New York."
  • D. Richard Gant
    Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
  • E. Dermot Mulroney
    Dermot Mulroney is an American actor known for his versatile film and television roles, including prominent performances in romantic comedies and dramas since the late 1980s.
  • 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: Joel David Moore
Triple: [Avatar (2009 film), castMember, Joel David Moore]
Generated description
Joel David Moore is an American actor and director best known for his roles in films like "Avatar" and the TV series "Bones."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joel David Moore
Target entity description: Joel David Moore is an American actor and director best known for his roles in films like "Avatar" and the TV series "Bones."
  • A. Luke Goss
    Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
  • B. Bill Hartnett
    Bill Hartnett is a person notable enough to be recognized as a bearer of the surname Hartnett, though specific widely known achievements or roles are not clearly documented.
  • C. Anthony Redman
    Anthony Redman is a film editor best known for his work on the 1990 crime drama "King of New York."
  • D. Richard Gant
    Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
  • E. Dermot Mulroney
    Dermot Mulroney is an American actor known for his versatile film and television roles, including prominent performances in romantic comedies and dramas since the late 1980s.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c5773481908446d84897e7a533 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5d00e20819095114787f95e3858 completed March 14, 2026, 11:57 p.m.
NEDg Description generation batch_69b5f674c94c81908327336dd4380d2e completed March 14, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5f719d008819090a35e3597a0089f completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:16 p.m.