Triple

T170754
Position Surface form Disambiguated ID Type / Status
Subject Mary Baker Eddy E3115 entity
Predicate notableWork P4 FINISHED
Object No and Yes
"No and Yes" is a theological work by Mary Baker Eddy that clarifies and defends the principles of Christian Science in response to contemporary religious criticism.
 E21229 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: No and Yes | Statement: [Mary Baker Eddy, notableWork, No and Yes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: No and Yes
Context triple: [Mary Baker Eddy, notableWork, No and Yes]
  • A. yes
    yes is the high-definition television feed of the YES Network, providing its sports programming in HD quality.
  • B. If Not Now, When?
    If Not Now, When? is a historical novel by Primo Levi that follows a band of Jewish partisans fighting behind enemy lines in Eastern Europe during World War II.
  • C. Once Again
    Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
  • D. .no
    .no is the country code top-level domain (ccTLD) assigned to Norway for use in its internet addresses.
  • E. Yell
    Yell is one of the larger inhabited islands in the Shetland archipelago of Scotland, known for its rugged coastline, wildlife, and remote rural communities.
  • 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: No and Yes
Triple: [Mary Baker Eddy, notableWork, No and Yes]
Generated description
"No and Yes" is a theological work by Mary Baker Eddy that clarifies and defends the principles of Christian Science in response to contemporary religious criticism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: No and Yes
Target entity description: "No and Yes" is a theological work by Mary Baker Eddy that clarifies and defends the principles of Christian Science in response to contemporary religious criticism.
  • A. yes
    yes is the high-definition television feed of the YES Network, providing its sports programming in HD quality.
  • B. If Not Now, When?
    If Not Now, When? is a historical novel by Primo Levi that follows a band of Jewish partisans fighting behind enemy lines in Eastern Europe during World War II.
  • C. Once Again
    Once Again is John Legend's Grammy-winning second studio album, known for its soulful blend of R&B, pop, and neo-soul.
  • D. .no
    .no is the country code top-level domain (ccTLD) assigned to Norway for use in its internet addresses.
  • E. Yell
    Yell is one of the larger inhabited islands in the Shetland archipelago of Scotland, known for its rugged coastline, wildlife, and remote rural communities.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b82bdc81908ebd50fb05d511df completed Feb. 28, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e3c131cc81909092b2aab26cd1ba completed Feb. 28, 2026, 12:46 p.m.
NEDg Description generation batch_69a2e43c273c8190ac28bb1826f30eb4 completed Feb. 28, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_69a2e492948c8190a9338cf1a7b5acd8 completed Feb. 28, 2026, 12:50 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.