Triple

T13519520
Position Surface form Disambiguated ID Type / Status
Subject Nurse (Romeo and Juliet) E322855 entity
Predicate supportsMarriageBetween P110081 FINISHED
Object Romeo Montague E54683 NE FINISHED

How this triple was built (3 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: Romeo Montague | Statement: [Nurse (Romeo and Juliet), supportsMarriageBetween, Romeo Montague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romeo Montague
Context triple: [Nurse (Romeo and Juliet), supportsMarriageBetween, Romeo Montague]
  • A. Romeo Montague chosen
    Romeo Montague is the passionate young lover and tragic protagonist of William Shakespeare’s play "Romeo and Juliet," whose forbidden romance ends in mutual death.
  • B. Romeo
    Romeo is a small statutory town located in Conejos County in southern Colorado, United States.
  • C. Romeo
    Romeo is a tough, wisecracking Orbital Drop Shock Trooper and member of the Rookie’s squad in the video game Halo 3: ODST.
  • D. Romeo
    Romeo is a recurring mad-scientist villain in the children's animated superhero series PJ Masks, known for his inventive gadgets and schemes to outsmart the heroes.
  • E. Lord Capulet
    Lord Capulet is Juliet’s authoritative and temperamental father in Shakespeare’s tragedy, whose decisions and conflicts help drive the lovers toward their fatal end.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsMarriageBetween
Context triple: [Nurse (Romeo and Juliet), supportsMarriageBetween, Romeo Montague]
  • A. acceptsMarriageTo
    Indicates that one entity formally agrees to enter into a marriage with another entity.
  • B. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • C. sameSexMarriage
    Indicates that two individuals are married to each other and are of the same sex.
  • D. marriesFor
    Indicates that one entity enters into marriage with another entity specifically for a particular reason, motive, or benefit.
  • E. marriageResolvedBy
    Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa27f048190bed33a98e28c8d09 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75498153c819096a28a7f0b608ff5 completed May 3, 2026, 1:58 p.m.
PD Predicate disambiguation batch_69dbae0b63748190b5e207f84b2532ea completed April 12, 2026, 2:36 p.m.
PDg Predicate description generation batch_69dbaee128d88190b097be17fdd2f92b completed April 12, 2026, 2:40 p.m.
Created at: April 9, 2026, 9:44 p.m.