Triple

T17642612
Position Surface form Disambiguated ID Type / Status
Subject William David Snodgrass E429269 entity
Predicate alsoKnownAs P39 FINISHED
Object De
De is the pen name used by American poet William David Snodgrass, a key figure in the confessional poetry movement.
 E1278862 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: De | Statement: [William David Snodgrass, alsoKnownAs, De]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: De
Context triple: [William David Snodgrass, alsoKnownAs, De]
  • A. De
    De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
  • B. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • C. Den
    Den is a central fictional character from the British soap opera "EastEnders," known for his complex relationships and dramatic storylines in the early years of the show.
  • D. 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.
  • E. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • 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: De
Triple: [William David Snodgrass, alsoKnownAs, De]
Generated description
De is the pen name used by American poet William David Snodgrass, a key figure in the confessional poetry movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: De
Target entity description: De is the pen name used by American poet William David Snodgrass, a key figure in the confessional poetry movement.
  • A. De
    De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
  • B. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • C. Den
    Den is a central fictional character from the British soap opera "EastEnders," known for his complex relationships and dramatic storylines in the early years of the show.
  • D. 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.
  • E. DEN
    DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de7055c819080d315bb3637882b completed April 19, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020aa7be948190bf0ab64a2908d3b1 completed May 11, 2026, 4:58 p.m.
NEDg Description generation batch_6a020b51c208819083b1634221929628 completed May 11, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a020bd466d881909ffdfe3cf932b980 completed May 11, 2026, 5:03 p.m.
Created at: April 10, 2026, 6:03 a.m.