Triple

T6018515
Position Surface form Disambiguated ID Type / Status
Subject Tobias E134005 entity
Predicate heals P8786 FINISHED
Object Tobit E21597 NE FINISHED

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: Tobit | Statement: [Tobias, heals, Tobit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobit
Context triple: [Tobias, heals, Tobit]
  • A. Tobit chosen
    Tobit is a deuterocanonical Jewish wisdom and adventure narrative, preserved in the Septuagint, that tells the story of a righteous Israelite and his son Tobias guided by the angel Raphael.
  • B. Giona
    Giona is an Italian given name, equivalent to Jonah, with biblical origins and shared etymological roots with the name Yonas.
  • C. Abednego
    Abednego is a biblical figure from the Book of Daniel, known as one of three Jewish youths miraculously saved from King Nebuchadnezzar’s fiery furnace for refusing to worship a golden idol.
  • D. Gabriele
    Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
  • E. Samaritan
    "Samaritan" is a novel by Thomas Hoover, likely a thriller or suspense work characteristic of his style blending historical or technological intrigue with fast-paced storytelling.
  • 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: heals
Context triple: [Tobias, heals, Tobit]
  • A. healthEffect
    Indicates the impact or consequence that one entity has on the health or well-being of another.
  • B. remedy
    Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
  • C. viewOnHealing
    Indicates a stance, belief, or perspective that an entity holds regarding the nature, process, or principles of healing.
  • D. sacramentOfHealing
    Indicates a relationship in which a religious sacrament is administered to bring spiritual or physical healing to a person.
  • E. treats chosen
    Indicates that one entity provides medical care or therapeutic intervention to another entity.
  • F. None of above.

Provenance (4 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8589d0819089ae7840461640f6 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1136a4720819092bf2c6a9101c71b completed March 23, 2026, 10:18 a.m.
PD Predicate disambiguation batch_69c049e75b3881908be106fbcf8c68d4 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:07 p.m.