Triple

T20883287
Position Surface form Disambiguated ID Type / Status
Subject The Good Lie E514205 entity
Predicate hasCharacter P2308 FINISHED
Object Abital NE NERFINISHED

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: Abital | Statement: [The Good Lie, hasCharacter, Abital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abital
Context triple: [The Good Lie, hasCharacter, Abital]
  • A. Abital chosen
    Abital is one of the lesser-known wives of the biblical King David, mentioned in the Hebrew Bible as the mother of his son Shephatiah.
  • B. Ilala
    Ilala is a central administrative district of Dar es Salaam in Tanzania, encompassing key commercial, residential, and transport hubs of the city.
  • C. Alkatiri
    Alkatiri is the surname of Mari Alkatiri, a prominent East Timorese politician and former prime minister of Timor-Leste.
  • D. Itsa
    Itsa is a town in Egypt located within the Faiyum Governorate, known primarily as a local agricultural and administrative center.
  • E. Imota
    Imota is a town in Lagos State, Nigeria, known as a semi-urban community within the Ikorodu axis with growing residential and commercial development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67b03088190be7cbcde8c59509a completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.