Triple

T4609922
Position Surface form Disambiguated ID Type / Status
Subject The Black Cauldron E100528 entity
Predicate character P662 FINISHED
Object Taran
Taran is the young, idealistic Assistant Pig-Keeper and main protagonist of Lloyd Alexander’s fantasy novel "The Black Cauldron," who dreams of becoming a great hero.
E456227 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: Taran | Statement: [The Black Cauldron, character, Taran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taran
Context triple: [The Black Cauldron, character, Taran]
  • A. Taralga
    Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
  • B. Gaheris
    Gaheris is a knight of the Round Table in Arthurian legend, known as one of King Arthur’s nephews and a member of the Orkney clan.
  • C. Baldwyn
    Baldwyn is a masculine given name and surname of Old Germanic origin, historically associated with nobility and leadership.
  • D. Gwalchmei
    Gwalchmei is the Welsh name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend renowned for his bravery and chivalry.
  • E. Rahere
    Rahere was a 12th-century Anglo-Norman courtier and cleric best known for establishing St Bartholomew's Priory and Hospital in London.
  • 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: Taran
Triple: [The Black Cauldron, character, Taran]
Generated description
Taran is the young, idealistic Assistant Pig-Keeper and main protagonist of Lloyd Alexander’s fantasy novel "The Black Cauldron," who dreams of becoming a great hero.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taran
Target entity description: Taran is the young, idealistic Assistant Pig-Keeper and main protagonist of Lloyd Alexander’s fantasy novel "The Black Cauldron," who dreams of becoming a great hero.
  • A. Taralga
    Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
  • B. Gaheris
    Gaheris is a knight of the Round Table in Arthurian legend, known as one of King Arthur’s nephews and a member of the Orkney clan.
  • C. Baldwyn
    Baldwyn is a masculine given name and surname of Old Germanic origin, historically associated with nobility and leadership.
  • D. Gwalchmei
    Gwalchmei is the Welsh name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend renowned for his bravery and chivalry.
  • E. Rahere
    Rahere was a 12th-century Anglo-Norman courtier and cleric best known for establishing St Bartholomew's Priory and Hospital in London.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59be3300819095e548b488c8f75e completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa7e918881908743818e0645da46 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb6fa3fc8190b79b641025710eb1 completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbeddd7c8190955bd3363fec4ca1 completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:12 p.m.