Triple

T14119210
Position Surface form Disambiguated ID Type / Status
Subject Peter and the Wolf E339860 entity
Predicate hasCharacter P2308 FINISHED
Object the Cat
The Cat is a sly, cautious feline character in Sergei Prokofiev’s musical fairy tale "Peter and the Wolf," represented by the clarinet in the orchestra.
 E1080528 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: the Cat | Statement: [Peter and the Wolf, hasCharacter, the Cat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: the Cat
Context triple: [Peter and the Wolf, hasCharacter, the Cat]
  • A. Catz
    Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
  • B. Catz
    Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
  • C. Catz
    Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
  • D. Gato
    Gato is the nickname of Argentine jazz saxophonist and composer Gato Barbieri, known for his passionate playing style and contributions to Latin jazz.
  • E. Kitty
    Kitty is a common diminutive or nickname for the given name Catherine.
  • 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: the Cat
Triple: [Peter and the Wolf, hasCharacter, the Cat]
Generated description
The Cat is a sly, cautious feline character in Sergei Prokofiev’s musical fairy tale "Peter and the Wolf," represented by the clarinet in the orchestra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: the Cat
Target entity description: The Cat is a sly, cautious feline character in Sergei Prokofiev’s musical fairy tale "Peter and the Wolf," represented by the clarinet in the orchestra.
  • A. Catz
    Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
  • B. Catz
    Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
  • C. Catz
    Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
  • D. Gato
    Gato is the nickname of Argentine jazz saxophonist and composer Gato Barbieri, known for his passionate playing style and contributions to Latin jazz.
  • E. Kitty
    Kitty is a common diminutive or nickname for the given name Catherine.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de609322ac8190bb389ca250882af5 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0bc60088190a7e2f0c9532304e3 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd56da6408190bdbce6581c51d065 completed May 7, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69fcd5f8266081909ff9148a77d63ea8 completed May 7, 2026, 6:12 p.m.
Created at: April 9, 2026, 10:22 p.m.