Triple

T10588671
Position Surface form Disambiguated ID Type / Status
Subject Hanna (2011 film) E249924 entity
Predicate screenwriter P2831 FINISHED
Object Seth Lochhead
Seth Lochhead is a Canadian screenwriter best known for co-writing the action thriller film "Hanna" (2011).
E883324 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: Seth Lochhead | Statement: [Hanna (2011 film), screenwriter, Seth Lochhead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Lochhead
Context triple: [Hanna (2011 film), screenwriter, Seth Lochhead]
  • A. Seth Padelford
    Seth Padelford was a 19th-century American politician who served as Governor of Rhode Island during the Reconstruction era.
  • B. Seth Numrich
    Seth Numrich is an American actor known for his work on stage and screen, including a prominent role in the historical drama series "Turn: Washington's Spies."
  • C. Seth Frank
    Seth Frank is a fictional Washington, D.C. police detective featured in David Baldacci’s political thriller novel "Absolute Power."
  • D. Seth Wright
    Seth Wright is a fictional White House Press Secretary and later Chief of Staff in the political drama series "Designated Survivor."
  • E. Seth Davis
    Seth Davis is the ambitious young stockbroker protagonist of the film "Boiler Room," whose involvement in a corrupt brokerage firm forces him to confront the moral consequences of his pursuit of wealth and success.
  • 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: Seth Lochhead
Triple: [Hanna (2011 film), screenwriter, Seth Lochhead]
Generated description
Seth Lochhead is a Canadian screenwriter best known for co-writing the action thriller film "Hanna" (2011).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seth Lochhead
Target entity description: Seth Lochhead is a Canadian screenwriter best known for co-writing the action thriller film "Hanna" (2011).
  • A. Seth Padelford
    Seth Padelford was a 19th-century American politician who served as Governor of Rhode Island during the Reconstruction era.
  • B. Seth Numrich
    Seth Numrich is an American actor known for his work on stage and screen, including a prominent role in the historical drama series "Turn: Washington's Spies."
  • C. Seth Frank
    Seth Frank is a fictional Washington, D.C. police detective featured in David Baldacci’s political thriller novel "Absolute Power."
  • D. Seth Wright
    Seth Wright is a fictional White House Press Secretary and later Chief of Staff in the political drama series "Designated Survivor."
  • E. Seth Davis
    Seth Davis is the ambitious young stockbroker protagonist of the film "Boiler Room," whose involvement in a corrupt brokerage firm forces him to confront the moral consequences of his pursuit of wealth and success.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527793c588190bfe3a5261eb7f919 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69de222baab081908e2e2b18f656dedb completed April 14, 2026, 11:16 a.m.
NEDg Description generation batch_69de271ca4f081908d78a20b25ebd25c completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2ccee0cc8190acd24d5c225f7cde completed April 14, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:40 p.m.