Triple

T21067845
Position Surface form Disambiguated ID Type / Status
Subject The Sneetches and Other Stories E519022 entity
Predicate mainCharacterOfStory P32529 FINISHED
Object Dave
Dave is a character from Dr. Seuss’s children’s book collection "The Sneetches and Other Stories," featured in one of its moral-driven tales.
 E1464932 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: Dave | Statement: [The Sneetches and Other Stories, mainCharacterOfStory, Dave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dave
Context triple: [The Sneetches and Other Stories, mainCharacterOfStory, Dave]
  • A. Dave
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • B. Dave
    "Dave" is a 1993 political comedy film about a presidential look-alike who unexpectedly finds himself acting as the President of the United States.
  • C. Danny
    Danny is a masculine given name, often used as a diminutive of Daniel.
  • D. Danny
    Danny is a fictional character from the musical "Proud Mary."
  • E. Danny
    Danny is the central protagonist of the horror novel "The Keep," around whom the story’s supernatural and psychological conflicts revolve.
  • 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: Dave
Triple: [The Sneetches and Other Stories, mainCharacterOfStory, Dave]
Generated description
Dave is a character from Dr. Seuss’s children’s book collection "The Sneetches and Other Stories," featured in one of its moral-driven tales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dave
Target entity description: Dave is a character from Dr. Seuss’s children’s book collection "The Sneetches and Other Stories," featured in one of its moral-driven tales.
  • A. Dave
    Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
  • B. Dave
    "Dave" is a 1993 political comedy film about a presidential look-alike who unexpectedly finds himself acting as the President of the United States.
  • C. Danny
    Danny is the young, psychically gifted son of Jack Torrance in Stephen King’s horror novel "The Shining" and its film adaptations.
  • D. Danny
    Danny is a masculine given name, often used as a diminutive of Daniel.
  • E. Danny
    Danny is the central character in the short story "In the Gloaming," around whom the narrative’s emotional and thematic developments revolve.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb5772481909e32af3b3a69df76 completed April 21, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09507392e4819088f52cde6c940b6d completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a0952ec874081908ef381ebb49e230c completed May 17, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a09535799cc81908c78b99762c0b1a0 completed May 17, 2026, 5:34 a.m.
Created at: April 16, 2026, 2:45 p.m.