Triple

T4159185
Position Surface form Disambiguated ID Type / Status
Subject Apollo and Daphne E91488 entity
Predicate depicts P1581 FINISHED
Object Apollo E12942 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: Apollo | Statement: [Apollo and Daphne, depicts, Apollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apollo
Context triple: [Apollo and Daphne, depicts, 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 chosen
    Apollo is the Olympian god of the sun, music, prophecy, and healing in ancient Greek mythology.
  • C. Apollo Karneios
    Apollo Karneios is a pastoral and oracular aspect of the Greek god Apollo particularly venerated in the Dorian regions of the ancient Greek world, where he was associated with flocks, seasonal cycles, and communal festivals.
  • D. Apollo Loxias
    Apollo Loxias is an epithet of the Greek god Apollo emphasizing his role as an oracular deity whose prophetic messages are often ambiguous or obscure.
  • E. Juno
    Juno is the ancient Roman queen of the gods, associated with marriage, childbirth, and the protection of the state.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0292baf88190a51156b63672ae38 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f1f8ca0819090fb2acb3fe03d14 completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:44 p.m.