Triple

T20680780
Position Surface form Disambiguated ID Type / Status
Subject Cole Young E508284 entity
Predicate winsAgainst P34090 FINISHED
Object Goro NE NERFINISHED

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: Goro | Statement: [Cole Young, winsAgainst, Goro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goro
Context triple: [Cole Young, winsAgainst, Goro]
  • A. Goro chosen
    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. 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.
  • E. 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.
  • 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: winsAgainst
Context triple: [Cole Young, winsAgainst, Goro]
  • A. wonAgainst chosen
    Indicates that one entity achieved victory over another in a competition, conflict, or contest.
  • B. winsFor
    Indicates that one entity achieves victory or success on behalf of, or in favor of, another entity.
  • C. numberOfWins
    Indicates the count of times an entity has achieved victory in a relevant context or competition.
  • D. wonAt
    Indicates that one entity achieved victory or success in a specific event, competition, or context.
  • E. winsWithTeam
    Indicates that an entity achieves a victory as a member of, or in conjunction with, a specific team.
  • F. None of above.

Provenance (3 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea655488190bab168d564d888af completed April 21, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69e5c03caee881908be4dd25796a03d5 completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 11:45 a.m.