Triple

T31232669
Position Surface form Disambiguated ID Type / Status
Subject Francis the Talking Mule E796326 entity
Predicate primaryHumanCompanion P51902 FINISHED
Object Peter Stirling
Peter Stirling is the bumbling but good-hearted G.I. who serves as the human lead opposite the wisecracking animal star in the mid-20th-century "Francis the Talking Mule" comedy film series.
E1956660 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: Peter Stirling | Statement: [Francis the Talking Mule, primaryHumanCompanion, Peter Stirling]
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: Peter Stirling
Triple: [Francis the Talking Mule, primaryHumanCompanion, Peter Stirling]
Generated description
Peter Stirling is the bumbling but good-hearted G.I. who serves as the human lead opposite the wisecracking animal star in the mid-20th-century "Francis the Talking Mule" comedy film series.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryHumanCompanion
Context triple: [Francis the Talking Mule, primaryHumanCompanion, Peter Stirling]
  • A. companionAnimals
    Indicates a relationship where one entity keeps or cares for another entity as a pet or companion animal.
  • B. pet
    Indicates that one entity keeps another animal for companionship or pleasure, typically providing care and shelter.
  • C. animalTypeLoved
    Indicates that one entity loves or is especially fond of animals of a particular type.
  • D. providesEmotionalSupportTo
    Indicates that one entity offers comfort, understanding, and reassurance to another to help them cope emotionally.
  • E. associatedWithAnimal chosen
    Indicates a relationship where an entity has a connection, link, or relevance to an animal.
  • 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_69f224db69ac81909a370adad6a7ac7c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e1cae7081908f4ca6ec3cf661d8 completed June 11, 2026, 2:31 a.m.
NEDg Description generation batch_6a2a5a88a63081908ea7e8241c88d4f1 completed June 11, 2026, 6:49 a.m.
NED2 Entity disambiguation (via description) batch_6a2a5ade22448190b3998f6efd3672f0 completed June 11, 2026, 6:51 a.m.
PD Predicate disambiguation batch_6a0379e5174c8190a0bdde7e381b7624 completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 9:10 p.m.