Triple

T13081045
Position Surface form Disambiguated ID Type / Status
Subject All the President’s Men E310203 entity
Predicate producer P490 FINISHED
Object Walter Coblenz E310203 NE FINISHED

How this triple was built (2 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: Walter Coblenz | Statement: [All the President’s Men, producer, Walter Coblenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Coblenz
Context triple: [All the President’s Men, producer, Walter Coblenz]
  • A. Walter Coblenz chosen
    Walter Coblenz was an American film producer best known for his work on the acclaimed political thriller "All the President’s Men."
  • B. Walter Trarbach
    Walter Trarbach is a theatrical sound designer known for his work on major Broadway productions, including SpongeBob SquarePants: The Broadway Musical.
  • C. Walter Wolfrum
    Walter Wolfrum was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • D. Walter Wottitz
    Walter Wottitz was a French cinematographer best known for his Academy Award-winning work on the World War II epic film "The Longest Day."
  • E. Walter Hieber
    Walter Hieber was a pioneering German inorganic chemist renowned for his foundational work in metal carbonyl chemistry and coordination compounds.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98119cb7081908b78ffe83ec99851 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63f006c8190997c0f3cdc6efd6c completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:01 p.m.