Triple

T19980525
Position Surface form Disambiguated ID Type / Status
Subject Launcelot Gobbo E493804 entity
Predicate familyName P18 FINISHED
Object Gobbo
Gobbo is the surname of Launcelot Gobbo, a comic servant character in William Shakespeare’s play "The Merchant of Venice."
 E1404055 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: Gobbo | Statement: [Launcelot Gobbo, familyName, Gobbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gobbo
Context triple: [Launcelot Gobbo, familyName, Gobbo]
  • A. Gobbo
    Gobbo is a mischievous goblin character who serves as one of the main troublemaking antagonists in Enid Blyton’s Noddy stories.
  • B. Goober
    Goober is a fictional, affable and goofy auto mechanic character from the classic American television series "The Andy Griffith Show" and its spin-offs.
  • C. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • D. Gurgi
    Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
  • E. Gob
    Gob is a bumbling, self-absorbed amateur magician and eldest Bluth son from the television series "Arrested Development."
  • 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: Gobbo
Triple: [Launcelot Gobbo, familyName, Gobbo]
Generated description
Gobbo is the surname of Launcelot Gobbo, a comic servant character in William Shakespeare’s play "The Merchant of Venice."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gobbo
Target entity description: Gobbo is the surname of Launcelot Gobbo, a comic servant character in William Shakespeare’s play "The Merchant of Venice."
  • A. Gobbo
    Gobbo is a mischievous goblin character who serves as one of the main troublemaking antagonists in Enid Blyton’s Noddy stories.
  • B. Goober
    Goober is a fictional, affable and goofy auto mechanic character from the classic American television series "The Andy Griffith Show" and its spin-offs.
  • C. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • D. Gurgi
    Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
  • E. Gob
    Gob is a bumbling, self-absorbed amateur magician and eldest Bluth son from the television series "Arrested Development."
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d12d968819081e315ec4585cd9f completed April 20, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fddbb1fc8190b5e5bd429e80e6d5 completed May 16, 2026, 5:17 a.m.
NEDg Description generation batch_6a07feea266c81909da71d549a8857d3 completed May 16, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff598550819093b6303a88dfefd2 completed May 16, 2026, 5:23 a.m.
Created at: April 11, 2026, 3:28 p.m.