Triple

T33107929
Position Surface form Disambiguated ID Type / Status
Subject JohnsPrayerForHealthAndWellBeing E847242 entity
Predicate hasPrimaryPetitioner P152662 FINISHED
Object John
John is the main individual seeking divine support and blessings in the prayer titled "JohnsPrayerForHealthAndWellBeing."
 E2036031 NE FINISHED

How this triple was built (3 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: John | Statement: [JohnsPrayerForHealthAndWellBeing, hasPrimaryPetitioner, John]
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: John
Triple: [JohnsPrayerForHealthAndWellBeing, hasPrimaryPetitioner, John]
Generated description
John is the main individual seeking divine support and blessings in the prayer titled "JohnsPrayerForHealthAndWellBeing."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasPrimaryPetitioner
Context triple: [JohnsPrayerForHealthAndWellBeing, hasPrimaryPetitioner, John]
  • A. casePetitioner chosen
    Indicates that an entity is the party who formally brings or initiates a legal case or petition before a court or tribunal.
  • B. hasPrimaryAppeal
    Indicates that one entity serves as the main or most important attraction, interest, or persuasive feature for another entity.
  • C. hasMainDefendant
    Indicates that a legal case or proceeding identifies a specific individual or entity as its primary defendant.
  • D. hasPrimary
    Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
  • E. hasPetOwner
    Indicates that a person or entity serves as the owner or caretaker of a particular pet.
  • F. None of above.

Provenance (6 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_69f3495686508190b76bf20fa5e00bf7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a0160834e388190908591b300954d29 completed May 11, 2026, 4:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34f005936881909b4e83bee51b31d1 completed June 19, 2026, 7:30 a.m.
NEDg Description generation batch_6a34f3a1f124819089a13499a4a65e7c completed June 19, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_6a34f50b27508190972dfdbde7652ce9 completed June 19, 2026, 7:51 a.m.
PD Predicate disambiguation batch_6a01602a83408190a11d754bdc7da0e9 completed May 11, 2026, 4:50 a.m.
Created at: May 1, 2026, 1:26 a.m.