Triple

T2161774
Position Surface form Disambiguated ID Type / Status
Subject James Ingo Freed E46816 entity
Predicate givenName P17 FINISHED
Object Ingo
Ingo is a given name most notably associated with architect James Ingo Freed, designer of the United States Holocaust Memorial Museum.
E239471 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: Ingo | Statement: [James Ingo Freed, givenName, Ingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingo
Context triple: [James Ingo Freed, givenName, Ingo]
  • A. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • B. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • C. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • 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
  • 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: Ingo
Triple: [James Ingo Freed, givenName, Ingo]
Generated description
Ingo is a given name most notably associated with architect James Ingo Freed, designer of the United States Holocaust Memorial Museum.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ingo
Target entity description: Ingo is a given name most notably associated with architect James Ingo Freed, designer of the United States Holocaust Memorial Museum.
  • A. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • B. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • C. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe89e6ac8190b4b4bc0be4fe7aa9 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58ec0a7481909bc3e751de31e4d7 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae59c3e0008190942715e0c44ca206 completed March 9, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a446350819080cdacd9a98f8de2 completed March 9, 2026, 5:27 a.m.
Created at: March 4, 2026, 7:45 p.m.