Triple

T9864876
Position Surface form Disambiguated ID Type / Status
Subject Dannel P. Malloy E239806 entity
Predicate givenName P17 FINISHED
Object Dannel
Dannel is the given name of Dannel P. Malloy, an American politician who served as the 88th governor of Connecticut.
E826090 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: Dannel | Statement: [Dannel P. Malloy, givenName, Dannel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dannel
Context triple: [Dannel P. Malloy, givenName, Dannel]
  • A. Denio
    Denio is a small unincorporated community in northern Nevada near the Oregon border, known for its remote high-desert setting and ranching heritage.
  • B. Dale
    Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
  • C. Dale
    Dale is a rebuilt human city in northern Middle-earth, located near the Lonely Mountain, that serves as a key setting in J.R.R. Tolkien’s legendarium and its film adaptations.
  • D. Dale
    Dale is the given name of legendary American NASCAR driver Dale Earnhardt, one of the most iconic figures in stock car racing history.
  • E. Dale
    Dale is a surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • 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: Dannel
Triple: [Dannel P. Malloy, givenName, Dannel]
Generated description
Dannel is the given name of Dannel P. Malloy, an American politician who served as the 88th governor of Connecticut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dannel
Target entity description: Dannel is the given name of Dannel P. Malloy, an American politician who served as the 88th governor of Connecticut.
  • A. Denio
    Denio is a small unincorporated community in northern Nevada near the Oregon border, known for its remote high-desert setting and ranching heritage.
  • B. Dale
    Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
  • C. Dale
    Dale is a rebuilt human city in northern Middle-earth, located near the Lonely Mountain, that serves as a key setting in J.R.R. Tolkien’s legendarium and its film adaptations.
  • D. Dale
    Dale is the given name of legendary American NASCAR driver Dale Earnhardt, one of the most iconic figures in stock car racing history.
  • E. Dale
    Dale is a surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3ba7f288190a15ebec2cc3112c4 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e44dc0b8819082294a479299814e completed April 5, 2026, 4:25 a.m.
NEDg Description generation batch_69d1e4a42ab0819085150f033c2a650a completed April 5, 2026, 4:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1e50b803081909cd93a602fb48514 completed April 5, 2026, 4:28 a.m.
Created at: March 30, 2026, 8:36 p.m.