Triple

T6649712
Position Surface form Disambiguated ID Type / Status
Subject Juventus Women E150788 entity
Predicate captain P884 FINISHED
Object Sara Gama E609736 NE 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: Sara Gama | Statement: [Juventus Women, captain, Sara Gama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara Gama
Context triple: [Juventus Women, captain, Sara Gama]
  • A. Sara Gama chosen
    Sara Gama is an Italian professional footballer and long-time national team defender renowned for her leadership and defensive prowess.
  • B. Sara Sampaio
    Sara Sampaio is a Portuguese fashion model best known for her work with Victoria’s Secret and appearances in major international fashion magazines and campaigns.
  • C. Caroline Gomes
    Caroline Gomes is a Brazilian human rights activist recognized internationally for her work defending marginalized communities and democratic freedoms.
  • D. Fernanda Gomes
    Fernanda Gomes is a Brazilian contemporary artist known for her minimalist, site-specific installations that often use everyday materials and subtle spatial interventions.
  • E. Isabel Barreto
    Isabel Barreto was a late 16th-century Spanish navigator and colonial figure often regarded as one of the first known female admirals in history, noted for her role in Pacific exploration.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b04408508190a87a669b32364368 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79642508190a2e3810e347f2e93 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:01 p.m.