Triple

T10604342
Position Surface form Disambiguated ID Type / Status
Subject Hank Schrader E275833 entity
Predicate investigates P1857 FINISHED
Object Heisenberg
Heisenberg is the criminal alias of Walter White, a high school chemistry teacher turned methamphetamine kingpin in the television series "Breaking Bad."
 E874637 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: Heisenberg | Statement: [Hank Schrader, investigates, Heisenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heisenberg
Context triple: [Hank Schrader, investigates, Heisenberg]
  • A. Pauli
    Pauli was the commonly used name of Pauli Murray, a pioneering American civil rights activist, lawyer, Episcopal priest, and writer whose work influenced both the civil rights and women’s rights movements.
  • B. EINSTEIN
    EINSTEIN is a U.S. federal intrusion detection and prevention system used to monitor and protect government agency networks from cyber threats.
  • C. Werner
    Werner is a given name and surname of Germanic origin, commonly used in German-speaking countries.
  • D. Neumann
    Neumann is a variant spelling of the surname Newman, commonly of German origin and borne by various notable figures in science, mathematics, and the arts.
  • E. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • 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: Heisenberg
Triple: [Hank Schrader, investigates, Heisenberg]
Generated description
Heisenberg is the criminal alias of Walter White, a high school chemistry teacher turned methamphetamine kingpin in the television series "Breaking Bad."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heisenberg
Target entity description: Heisenberg is the criminal alias of Walter White, a high school chemistry teacher turned methamphetamine kingpin in the television series "Breaking Bad."
  • A. Pauli
    Pauli was the commonly used name of Pauli Murray, a pioneering American civil rights activist, lawyer, Episcopal priest, and writer whose work influenced both the civil rights and women’s rights movements.
  • B. EINSTEIN
    EINSTEIN is a U.S. federal intrusion detection and prevention system used to monitor and protect government agency networks from cyber threats.
  • C. Werner
    Werner is a given name and surname of Germanic origin, commonly used in German-speaking countries.
  • D. Neumann
    Neumann is a variant spelling of the surname Newman, commonly of German origin and borne by various notable figures in science, mathematics, and the arts.
  • E. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4992248190b640d743ccf02c82 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eaffcd0819098e0a06a731b602f completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d961aaf71881908289244e0a490492 completed April 10, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69d9623cf54081908abcdc88e13d5176 completed April 10, 2026, 8:49 p.m.
Created at: April 8, 2026, 7:32 p.m.