Triple

T19372
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholicism E384 entity
Predicate hasLeaderTitle P301 FINISHED
Object Pope E670 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: Pope | Statement: [Roman Catholicism, hasLeaderTitle, Pope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pope
Context triple: [Roman Catholicism, hasLeaderTitle, Pope]
  • A. Pope Francis
    Pope Francis is the head of the Roman Catholic Church known for his emphasis on humility, social justice, and interfaith dialogue.
  • B. Holy See chosen
    The Holy See is the central governing authority of the Catholic Church and a sovereign subject of international law, headed by the Pope and based in Vatican City.
  • C. Jesus Christ
    Jesus Christ is believed by Christians to be the incarnate Son of God and the Savior of humanity whose life, death, and resurrection are the foundation of the Christian faith.
  • D. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • E. Joseph
    Joseph is the first name of J. C. R. Licklider, a pioneering computer scientist often regarded as a key figure in the development of the internet and interactive computing.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a2465d9038819087f875a5afac9541 completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248e73c6c8190a83d10709aa3f9c7 completed Feb. 28, 2026, 1:46 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.