Triple

T22029928
Position Surface form Disambiguated ID Type / Status
Subject Banquo’s ghost banquet scene E544057 entity
Predicate featuresCharacter P626 FINISHED
Object Ross
Ross is a Scottish nobleman in Shakespeare’s tragedy "Macbeth," serving as a messenger and observer who helps convey the unfolding political chaos and violence.
E1405479 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: Ross | Statement: [Banquo’s ghost banquet scene, featuresCharacter, Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ross
Context triple: [Banquo’s ghost banquet scene, featuresCharacter, Ross]
  • A. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • B. John
    John is the given name of Prince Alexander John of Wales, a short-lived British royal infant of the 19th century.
  • C. John
    John is the given first name of Johnny Vaught, a notable American college football coach.
  • D. John
    John is one of the middle names of Crown Prince Christian of Denmark, the heir apparent to the Danish throne.
  • E. John
    John Murphy is a common personal name shared by numerous individuals across various professions and regions.
  • 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: Ross
Triple: [Banquo’s ghost banquet scene, featuresCharacter, Ross]
Generated description
Ross is a Scottish nobleman in Shakespeare’s tragedy "Macbeth," serving as a messenger and observer who helps convey the unfolding political chaos and violence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ross
Target entity description: Ross is a Scottish nobleman in Shakespeare’s tragedy "Macbeth," serving as a messenger and observer who helps convey the unfolding political chaos and violence.
  • A. Ross
    Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
  • B. Ross
    Ross is a historic region in the Scottish Highlands traditionally associated with Clan Ross and known for its rugged landscapes and coastal scenery.
  • C. Ross
    Ross is a masculine given name of Scottish and English origin, commonly used in English-speaking countries.
  • D. Ross chosen
    Ross is a character who engages in dialogue with Martin Gray, likely within a narrative or dramatic context.
  • E. Ross
    Ross is a historic episcopal see in Ireland that forms part of the united Church of Ireland Diocese of Cork, Cloyne and Ross.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ed0cb08190aead0838cc62934c completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a738ada68819098355c1953b9c3cc completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a74e91b548190b7489048bd10dae9 completed May 18, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7548848c8190ab07d9eaa1cf802a completed May 18, 2026, 2:11 a.m.
Created at: April 16, 2026, 8:24 p.m.