Triple

T19981732
Position Surface form Disambiguated ID Type / Status
Subject Le Beau E493830 entity
Predicate warnsCharacter P2399 FINISHED
Object Orlando
Orlando is the young, brave, and wronged nobleman who becomes Rosalind’s lover in William Shakespeare’s pastoral comedy "As You Like It."
 E505837 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: Orlando | Statement: [Le Beau, warnsCharacter, Orlando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orlando
Context triple: [Le Beau, warnsCharacter, Orlando]
  • A. Orlando
    Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
  • B. Orlando
    Orlando is a historic township area within Soweto, South Africa, known for its central role in the anti-apartheid struggle and vibrant local culture.
  • C. Orlando
    Orlando is a common Italian surname borne by numerous individuals, including notable political and cultural figures.
  • D. Orlando
    Orlando is a 1992 British period fantasy film, based on Virginia Woolf’s novel, in which Tilda Swinton plays an androgynous noble who lives for centuries while changing gender.
  • E. Orlando
    Orlando is the Italian literary counterpart of the medieval knight Roland, best known as the chivalric hero of epic poems such as "Orlando Furioso."
  • 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: Orlando
Triple: [Le Beau, warnsCharacter, Orlando]
Generated description
Orlando is the young, brave, and wronged nobleman who becomes Rosalind’s lover in William Shakespeare’s pastoral comedy "As You Like It."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orlando
Target entity description: Orlando is the young, brave, and wronged nobleman who becomes Rosalind’s lover in William Shakespeare’s pastoral comedy "As You Like It."
  • A. Orlando chosen
    Orlando is the young, virtuous, and romantically idealistic hero of Shakespeare’s comedy "As You Like It," known for his love for Rosalind and his conflict with his elder brother.
  • B. Orlando
    Orlando is the Italian literary counterpart of the medieval knight Roland, best known as the chivalric hero of epic poems such as "Orlando Furioso."
  • C. Orlando
    Orlando is a 1992 British period fantasy film, based on Virginia Woolf’s novel, in which Tilda Swinton plays an androgynous noble who lives for centuries while changing gender.
  • D. Orlando
    Orlando is the middle name of William O. Butler, a 19th-century American military officer and politician.
  • E. Orlando
    Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
  • F. None of above.

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_69e65d13a8a88190bf5f4f697793f4c9 completed April 20, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e19ad288190b22cf04863073385 completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080f4cc20c8190a22f465997f227c6 completed May 16, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_6a080fcf3ca881909de33824e8b8a9d5 completed May 16, 2026, 6:33 a.m.
Created at: April 11, 2026, 3:28 p.m.