Triple

T19832068
Position Surface form Disambiguated ID Type / Status
Subject Iphicles E476485 entity
Predicate hasSibling P363 FINISHED
Object Laonome 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: Laonome | Statement: [Iphicles, hasSibling, Laonome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laonome
Context triple: [Iphicles, hasSibling, Laonome]
  • A. Laonome chosen
    Laonome is a minor figure in Greek mythology known primarily as a daughter of Amphitryon and thus a relative of the hero Heracles.
  • B. Eleonas
    Eleonas is a district in the western part of Athens, Greece, historically known for its olive groves and now characterized by mixed industrial and urban development.
  • C. Ousanas
    Ousanas was a king of the ancient Kingdom of Aksum in what is now Ethiopia, known from inscriptions and coinage as an early Christian-era ruler preceding King Ezana.
  • D. Vromonas
    Vromonas is a small Greek island that forms part of the Echinades archipelago in the Ionian Sea.
  • E. Lophodolos
    Lophodolos is a genus of deep-sea anglerfish in the family Oneirodidae, known for their bioluminescent lures used to attract prey in the dark ocean depths.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656ce68b48190aa25b29d0b6ea021 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.