Triple

T5109184
Position Surface form Disambiguated ID Type / Status
Subject Hans D. Jensen E115172 entity
Predicate givenName P17 FINISHED
Object Johannes
Johannes is the given first name of the German nuclear physicist Hans D. Jensen, a Nobel Prize laureate in Physics.
 E494548 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: Johannes | Statement: [Hans D. Jensen, givenName, Johannes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Johannes
Context triple: [Hans D. Jensen, givenName, Johannes]
  • A. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • B. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • C. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • D. Gerhardus
    Gerhardus is a masculine given name of Germanic origin, closely related to names like Gerhard and Gerard, typically meaning “strong with the spear” or “brave with the spear.”
  • E. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • 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: Johannes
Triple: [Hans D. Jensen, givenName, Johannes]
Generated description
Johannes is the given first name of the German nuclear physicist Hans D. Jensen, a Nobel Prize laureate in Physics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Johannes
Target entity description: Johannes is the given first name of the German nuclear physicist Hans D. Jensen, a Nobel Prize laureate in Physics.
  • A. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • B. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • C. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • D. Gerhardus
    Gerhardus is a masculine given name of Germanic origin, closely related to names like Gerhard and Gerard, typically meaning “strong with the spear” or “brave with the spear.”
  • E. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75ac19e88190aa8cc8b930a58d2d completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaa322d08190911dd2ca91405c3c completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebbe7e8e081909814e97001f8cf89 completed March 21, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_69bebd33f25c8190a5d9b78ef71847e3 completed March 21, 2026, 3:45 p.m.
Created at: March 20, 2026, 1:41 p.m.