Triple

T5203069
Position Surface form Disambiguated ID Type / Status
Subject Endgame E117440 entity
Predicate character P662 FINISHED
Object Nagg
Nagg is a legless, elderly character in Samuel Beckett’s play "Endgame," known for living in a trash bin and engaging in bleakly comic exchanges with his wife Nell.
 E501001 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: Nagg | Statement: [Endgame, character, Nagg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nagg
Context triple: [Endgame, character, Nagg]
  • A. Gurgi
    Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
  • B. Smargadus
    Smargadus was the exarch of Ravenna who commissioned the Column of Phocas in the Roman Forum in the early 7th century.
  • C. Orco
    The Orco is a river in northwestern Italy that flows through the Piedmont region and is a significant tributary of the Po.
  • D. Bronck
    Bronck is a Dutch-origin surname most notably associated with Jonas Bronck, the early settler after whom the New York City borough of the Bronx is named.
  • E. Banzi
    Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
  • 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: Nagg
Triple: [Endgame, character, Nagg]
Generated description
Nagg is a legless, elderly character in Samuel Beckett’s play "Endgame," known for living in a trash bin and engaging in bleakly comic exchanges with his wife Nell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nagg
Target entity description: Nagg is a legless, elderly character in Samuel Beckett’s play "Endgame," known for living in a trash bin and engaging in bleakly comic exchanges with his wife Nell.
  • A. Gurgi
    Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
  • B. Smargadus
    Smargadus was the exarch of Ravenna who commissioned the Column of Phocas in the Roman Forum in the early 7th century.
  • C. Orco
    The Orco is a river in northwestern Italy that flows through the Piedmont region and is a significant tributary of the Po.
  • D. Bronck
    Bronck is a Dutch-origin surname most notably associated with Jonas Bronck, the early settler after whom the New York City borough of the Bronx is named.
  • E. Banzi
    Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a46393c81908da08f4fbfb6147d completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0a8ae0881909ce3173b73c2b749 completed March 21, 2026, 6:17 p.m.
NEDg Description generation batch_69bee61df9b4819092e4801195da2462 completed March 21, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69bee67364588190b5d8f31af7adf1f4 completed March 21, 2026, 6:41 p.m.
Created at: March 20, 2026, 1:47 p.m.