Triple

T22557368
Position Surface form Disambiguated ID Type / Status
Subject Aerope E557722 entity
Predicate givenTo P2329 FINISHED
Object Nauplius 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: Nauplius | Statement: [Aerope, givenTo, Nauplius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nauplius
Context triple: [Aerope, givenTo, Nauplius]
  • A. Nauplius chosen
    Nauplius is a figure in Greek mythology, often depicted as a cunning king and seafarer associated with acts of vengeance against the Greeks after the Trojan War.
  • B. Tanaea
    Tanaea is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • C. Nereid
    Nereid is a distant, irregularly shaped moon of Neptune known for its highly eccentric orbit, one of the most elongated of any moon in the Solar System.
  • D. Platamon
    Platamon is a coastal town in northern Greece known for its seaside tourism and its prominent medieval Platamon Castle overlooking the Aegean Sea.
  • E. Glaucus
    Glaucus is a character associated with the darkly comedic, countercultural world of the film "Harold and Maude," reflecting its themes of unconventional relationships and existential rebellion.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7b06e08190b3ca82a783965942 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.