Triple

T1097581
Position Surface form Disambiguated ID Type / Status
Subject The Cradle Will Rock E24303 entity
Predicate hasCharacter P2308 FINISHED
Object Moll
Moll is a character in the 1937 pro-labor musical play "The Cradle Will Rock," representing the struggles of the working class under corrupt capitalist forces.
E127301 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: Moll | Statement: [The Cradle Will Rock, hasCharacter, Moll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moll
Context triple: [The Cradle Will Rock, hasCharacter, Moll]
  • A. Marpessa
    Marpessa is a figure in Greek mythology known as a mortal woman whose beauty led to a famous love contest between the god Apollo and the hero Idas.
  • B. Maud
    Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • E. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • 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: Moll
Triple: [The Cradle Will Rock, hasCharacter, Moll]
Generated description
Moll is a character in the 1937 pro-labor musical play "The Cradle Will Rock," representing the struggles of the working class under corrupt capitalist forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moll
Target entity description: Moll is a character in the 1937 pro-labor musical play "The Cradle Will Rock," representing the struggles of the working class under corrupt capitalist forces.
  • A. Marpessa
    Marpessa is a figure in Greek mythology known as a mortal woman whose beauty led to a famous love contest between the god Apollo and the hero Idas.
  • B. Maud
    Maud is a feminine given name of Germanic origin, historically borne by European royalty and nobility.
  • C. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • D. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • E. Henrietta
    Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9a1d3108190b2a304fef429848d completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c3bb31881908768a909ce56a95d completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac5020f5748190b89c938240e63637 completed March 7, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ac50a982748190964d4fbef332baa5 completed March 7, 2026, 4:22 p.m.
Created at: March 1, 2026, 7:42 p.m.