Triple

T14519948
Position Surface form Disambiguated ID Type / Status
Subject The Dead Pool E340624 entity
Predicate basedOnCharacterCreatedBy P15277 FINISHED
Object Dean Riesner E54234 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: Dean Riesner | Statement: [The Dead Pool, basedOnCharacterCreatedBy, Dean Riesner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dean Riesner
Context triple: [The Dead Pool, basedOnCharacterCreatedBy, Dean Riesner]
  • A. Dean Riesner chosen
    Dean Riesner was an American screenwriter best known for his work on films such as "Dirty Harry" and "Play Misty for Me."
  • B. Frank Banholzer
    Frank Banholzer is a lesser-known relative of the German-American poet and theater critic Stefan Brecht, associated with the extended Brecht family.
  • C. William Diehl
    William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
  • D. Eugene Baumann
    Eugene Baumann was a landscape architect known for his work designing and shaping the grounds of the planned residential community of Llewellyn Park in New Jersey.
  • E. Karl Nehring
    Karl Nehring is an American writer and music critic known for his work on classical music and audio reviewing.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a70b15c81908773633e989ef704 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00077201c08190a0c3bb259856d5c9 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:22 a.m.