Triple

T13378905
Position Surface form Disambiguated ID Type / Status
Subject Tobiah the Ammonite E319262 entity
Predicate familyConnections P89441 FINISHED
Object had marriage ties with Jewish nobles 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: had marriage ties with Jewish nobles | Statement: [Tobiah the Ammonite, familyConnections, had marriage ties with Jewish nobles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: familyConnections
Context triple: [Tobiah the Ammonite, familyConnections, had marriage ties with Jewish nobles]
  • A. familyConnectionTo chosen
    Indicates a familial relationship or bond that exists between two entities, such as by blood, marriage, or adoption.
  • B. familyAlliance
    Indicates a cooperative or supportive relationship formed between families, often involving mutual obligations, shared interests, or joint actions.
  • C. playerRelations
    Indicates the nature or status of the relationship between players, such as alliances, rivalries, or other interpersonal dynamics.
  • D. familyGroup
    Indicates that multiple entities are related to each other as members of the same family unit or household.
  • E. familyAspect
    Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce56c6c8190adf4e19f6d1bc233 completed April 11, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69d9a03189908190a784a2755f8d81e1 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:33 p.m.