Triple

T12460971
Position Surface form Disambiguated ID Type / Status
Subject Munich – The Edge of War E297790 entity
Predicate cinematographyBy P1953 FINISHED
Object Frank Lamm
Frank Lamm is a cinematographer known for his work on the historical thriller film "Munich – The Edge of War."
E993492 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: Frank Lamm | Statement: [Munich – The Edge of War, cinematographyBy, Frank Lamm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Lamm
Context triple: [Munich – The Edge of War, cinematographyBy, Frank Lamm]
  • A. Jack Lauer
    Jack Lauer is the son of former "Today" show co-anchor Matt Lauer.
  • B. Frank Harts
    Frank Harts is an American actor known for his prominent television roles, including a leading part in the crime drama series "Prodigal Son."
  • C. Frank Kitz
    Frank Kitz was a 19th-century British anarchist and socialist activist known for his involvement in radical labor movements and early socialist organizations in the UK.
  • D. Bill Haverchuck
    Bill Haverchuck is a socially awkward, deadpan, and endearingly nerdy high school student from the cult TV series "Freaks and Geeks," known for his love of comedy, sci-fi, and Dungeons & Dragons.
  • E. Dennis Dreith
    Dennis Dreith is an American composer, orchestrator, and music industry executive known for his work on film and television scores and for advocating for musicians’ rights.
  • 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: Frank Lamm
Triple: [Munich – The Edge of War, cinematographyBy, Frank Lamm]
Generated description
Frank Lamm is a cinematographer known for his work on the historical thriller film "Munich – The Edge of War."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank Lamm
Target entity description: Frank Lamm is a cinematographer known for his work on the historical thriller film "Munich – The Edge of War."
  • A. Jack Lauer
    Jack Lauer is the son of former "Today" show co-anchor Matt Lauer.
  • B. Frank Harts
    Frank Harts is an American actor known for his prominent television roles, including a leading part in the crime drama series "Prodigal Son."
  • C. Frank Kitz
    Frank Kitz was a 19th-century British anarchist and socialist activist known for his involvement in radical labor movements and early socialist organizations in the UK.
  • D. Bill Haverchuck
    Bill Haverchuck is a socially awkward, deadpan, and endearingly nerdy high school student from the cult TV series "Freaks and Geeks," known for his love of comedy, sci-fi, and Dungeons & Dragons.
  • E. Dennis Dreith
    Dennis Dreith is an American composer, orchestrator, and music industry executive known for his work on film and television scores and for advocating for musicians’ rights.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db465c48190bcfaf22f25ef8947 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea710d481908371209cb92502a6 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65fadc97081908376913e390cfc3d completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f660c3d914819097b57784889ca389 completed May 2, 2026, 8:38 p.m.
Created at: April 8, 2026, 9:56 p.m.