Triple

T19486233
Position Surface form Disambiguated ID Type / Status
Subject Cio-Cio San E487517 entity
Predicate wardOf P21208 FINISHED
Object Goro
Goro is a character in Puccini’s opera "Madama Butterfly," a marriage broker who arranges the ill-fated union between Cio-Cio San and the American naval officer Pinkerton.
 E1421702 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: Goro | Statement: [Cio-Cio San, wardOf, Goro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goro
Context triple: [Cio-Cio San, wardOf, Goro]
  • A. Goro
    Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
  • B. Goro
    Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • C. Goro
    Goro is a coastal fishing town and municipality in Italy’s Emilia-Romagna region, known for its clam and mussel production along the Po River delta.
  • D. Ryogo
    Ryogo is a Japanese given name most notably borne by theoretical physicist Ryogo Kubo, known for his contributions to statistical mechanics and the fluctuation-dissipation theorem.
  • E. Takamori
    Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
  • 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: Goro
Triple: [Cio-Cio San, wardOf, Goro]
Generated description
Goro is a character in Puccini’s opera "Madama Butterfly," a marriage broker who arranges the ill-fated union between Cio-Cio San and the American naval officer Pinkerton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goro
Target entity description: Goro is a character in Puccini’s opera "Madama Butterfly," a marriage broker who arranges the ill-fated union between Cio-Cio San and the American naval officer Pinkerton.
  • A. Goro
    Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
  • B. Goro
    Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • C. Goro
    Goro is a coastal fishing town and municipality in Italy’s Emilia-Romagna region, known for its clam and mussel production along the Po River delta.
  • D. Ryogo
    Ryogo is a Japanese given name most notably borne by theoretical physicist Ryogo Kubo, known for his contributions to statistical mechanics and the fluctuation-dissipation theorem.
  • E. Takamori
    Takamori is the given name of Saigō Takamori, a prominent 19th-century Japanese samurai and political figure often called the "last true samurai."
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343f46e88190b7ba65c210285bee completed April 20, 2026, 2:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a08887c81909f37a39f42ea358a completed May 16, 2026, 11:50 a.m.
NEDg Description generation batch_6a085ad8bfd08190ac31b66cdc0bc6aa completed May 16, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a085b756f44819090892ab35a98fcc8 completed May 16, 2026, 11:56 a.m.
Created at: April 10, 2026, 1:39 p.m.