Triple

T2834328
Position Surface form Disambiguated ID Type / Status
Subject Finch E62313 entity
Predicate screenwriter P2831 FINISHED
Object Craig Luck
Craig Luck is a screenwriter best known for co-writing the post-apocalyptic drama film "Finch" starring Tom Hanks.
E302583 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: Craig Luck | Statement: [Finch, screenwriter, Craig Luck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Luck
Context triple: [Finch, screenwriter, Craig Luck]
  • A. Brett Veach
    Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
  • B. Nick Hendricks
    Nick Hendricks is a frustrated office worker from the dark comedy film "Horrible Bosses," who conspires with his friends to murder their abusive employers.
  • C. Craig Cody
    Craig Cody is the troubled yet cunning teenage grandson of a Southern California crime family matriarch in the television drama series "Animal Kingdom."
  • D. Brant Daugherty
    Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
  • E. Matt Hulett
    Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
  • 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: Craig Luck
Triple: [Finch, screenwriter, Craig Luck]
Generated description
Craig Luck is a screenwriter best known for co-writing the post-apocalyptic drama film "Finch" starring Tom Hanks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Craig Luck
Target entity description: Craig Luck is a screenwriter best known for co-writing the post-apocalyptic drama film "Finch" starring Tom Hanks.
  • A. Brett Veach
    Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
  • B. Nick Hendricks
    Nick Hendricks is a frustrated office worker from the dark comedy film "Horrible Bosses," who conspires with his friends to murder their abusive employers.
  • C. Craig Cody
    Craig Cody is the troubled yet cunning teenage grandson of a Southern California crime family matriarch in the television drama series "Animal Kingdom."
  • D. Brant Daugherty
    Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
  • E. Matt Hulett
    Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdec18b808190aedae2ed11d53b15 completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8c45c548190ac67b94a845cc730 completed March 10, 2026, 9:47 a.m.
NEDg Description generation batch_69afe9a000c4819085be1794bff0d506 completed March 10, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69b0010b0ddc8190b4bfb18448f88077 completed March 10, 2026, 11:31 a.m.
Created at: March 6, 2026, 10:01 p.m.