Triple

T3580336
Position Surface form Disambiguated ID Type / Status
Subject Guillermo Coria E75783 entity
Predicate backhand P44417 FINISHED
Object two-handed backhand LITERAL FINISHED

How this triple was built (2 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: two-handed backhand | Statement: [Guillermo Coria, backhand, two-handed backhand]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: backhand
Context triple: [Guillermo Coria, backhand, two-handed backhand]
  • A. playsBackhand chosen
    Indicates that an entity performs or executes a backhand stroke or action, typically in a sport such as tennis.
  • B. handicap
    Indicates that one entity imposes or experiences a disadvantage, constraint, or limiting condition in relation to another entity or context.
  • C. backing
    Indicates providing support, endorsement, or financial/resources assistance to someone or something, often enabling or strengthening their actions or position.
  • D. battingHand
    Indicates the handedness a player uses when batting, such as right-handed, left-handed, or switch.
  • E. throwingHand
    Indicates which hand (left or right) an entity primarily uses to throw.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ffecdc8190bf01c8ba90e3733e completed March 8, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69adb83810c481909c645c08b978edc1 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:21 p.m.