Triple

T13286789
Position Surface form Disambiguated ID Type / Status
Subject Abiel Abbot Low E316465 entity
Predicate givenName P17 FINISHED
Object Abiel E475230 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: Abiel | Statement: [Abiel Abbot Low, givenName, Abiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abiel
Context triple: [Abiel Abbot Low, givenName, Abiel]
  • A. Abiel chosen
    Abiel is a biblical figure mentioned in the Old Testament as an ancestor in the lineage of King Saul.
  • B. Azariel
    Azariel is a masculine given name of Hebrew origin, traditionally associated with the meaning "God is my help" or "whom God helps."
  • C. Azelises
    Azelises was an Indo-Scythian king who ruled parts of northwestern South Asia in the early centuries BCE/CE, known primarily from his coinage and role in the regional succession of Indo-Scythian rulers.
  • D. Adriel
    Adriel is the given first name of American former NFL wide receiver A. J. Green.
  • E. Éliante
    Éliante is a thoughtful and moderate young woman in Molière’s play *Le Misanthrope*, often seen as the voice of reason and a foil to the more extreme characters.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990759ebc8190a9487a59e37a69e2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d26a548190be15872154c9a942 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.