Triple

T15673226
Position Surface form Disambiguated ID Type / Status
Subject Paris (Orlando Bloom) E377371 entity
Predicate basedOn P98 FINISHED
Object Paris (mythology)
Paris (mythology) is a prince of Troy in Greek mythology best known for judging the beauty contest between goddesses that led to the Trojan War and for abducting Helen.
E1170936 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: Paris (mythology) | Statement: [Paris (Orlando Bloom), basedOn, Paris (mythology)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris (mythology)
Context triple: [Paris (Orlando Bloom), basedOn, Paris (mythology)]
  • A. Parisina
    Parisina is an opera by Italian composer Pietro Mascagni, based on a tragic historical-romantic tale.
  • B. Olympe
    Olympe is a feminine given name of French origin historically borne by notable figures such as Olympe de Gouges and Olympe Mancini.
  • C. Parium
    Parium was an ancient Greek city and important port on the Hellespont in the historical region of Mysia in northwestern Asia Minor.
  • D. Paris Qualles
    Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
  • E. Helen Thermopolis
    Helen Thermopolis is the free-spirited, artistic mother of Mia Thermopolis in Meg Cabot’s "The Princess Diaries" series.
  • 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: Paris (mythology)
Triple: [Paris (Orlando Bloom), basedOn, Paris (mythology)]
Generated description
Paris (mythology) is a prince of Troy in Greek mythology best known for judging the beauty contest between goddesses that led to the Trojan War and for abducting Helen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paris (mythology)
Target entity description: Paris (mythology) is a prince of Troy in Greek mythology best known for judging the beauty contest between goddesses that led to the Trojan War and for abducting Helen.
  • A. Parisina
    Parisina is an opera by Italian composer Pietro Mascagni, based on a tragic historical-romantic tale.
  • B. Olympe
    Olympe is a feminine given name of French origin historically borne by notable figures such as Olympe de Gouges and Olympe Mancini.
  • C. Parium
    Parium was an ancient Greek city and important port on the Hellespont in the historical region of Mysia in northwestern Asia Minor.
  • D. Paris Qualles
    Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
  • E. Helen Thermopolis
    Helen Thermopolis is the free-spirited, artistic mother of Mia Thermopolis in Meg Cabot’s "The Princess Diaries" series.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6edb12bc8190b2c5558190671ae5 completed May 9, 2026, 5:28 p.m.
NEDg Description generation batch_69ff6fa2b0b881908fa7af973ee0bb6f completed May 9, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff707d1db4819097aa9402ce0abb97 completed May 9, 2026, 5:35 p.m.
Created at: April 10, 2026, 4:16 a.m.