Triple

T13564410
Position Surface form Disambiguated ID Type / Status
Subject Dann Florek E323995 entity
Predicate givenName P17 FINISHED
Object Dann
Dann is a masculine given name, often used as a variant of "Dan" or "Daniel."
E1047137 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: Dann | Statement: [Dann Florek, givenName, Dann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dann
Context triple: [Dann Florek, givenName, Dann]
  • A. Dannel
    Dannel is the given name of Dannel P. Malloy, an American politician who served as the 88th governor of Connecticut.
  • B. Den
    Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
  • C. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • D. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • E. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • 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: Dann
Triple: [Dann Florek, givenName, Dann]
Generated description
Dann is a masculine given name, often used as a variant of "Dan" or "Daniel."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dann
Target entity description: Dann is a masculine given name, often used as a variant of "Dan" or "Daniel."
  • A. Dannel
    Dannel is the given name of Dannel P. Malloy, an American politician who served as the 88th governor of Connecticut.
  • B. Den
    Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
  • C. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • D. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • E. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75daf1bfc8190bf22eb9ef242f54f completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75f9c6a8881908a6df0a9a4bbc7ab completed May 3, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7601770ac8190a03be23cfe66d5d1 completed May 3, 2026, 2:47 p.m.
Created at: April 9, 2026, 9:47 p.m.