Triple

T20046443
Position Surface form Disambiguated ID Type / Status
Subject Antinous E497568 entity
Predicate associatedWith P37 FINISHED
Object Apollo 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: Apollo | Statement: [Antinous, associatedWith, Apollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apollo
Context triple: [Antinous, associatedWith, Apollo]
  • A. Apollo
    Apollo is a small borough in Armstrong County, Pennsylvania, known historically as a riverfront industrial community along the Kiskiminetas River.
  • B. Apollo
    Apollo is a well-known brand that produces a range of bicycles and related cycling products.
  • C. Apollo chosen
    Apollo is the Olympian god of the sun, music, prophecy, and healing in ancient Greek mythology.
  • D. Apollo Lyceius
    Apollo Lyceius is a pastoral aspect of the Greek god Apollo, venerated especially as a guardian of shepherds and their flocks.
  • E. Apollo Clarios
    Apollo Clarios is a local cult epithet of the god Apollo venerated at the ancient oracular sanctuary of Claros in Ionia, where he was worshipped primarily as a prophetic and healing deity.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632a5e888190ade41657ffd057f6 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.