Triple

T4756989
Position Surface form Disambiguated ID Type / Status
Subject Cerberus E105612 entity
Predicate hasSibling P363 FINISHED
Object Orthrus E377342 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: Orthrus | Statement: [Cerberus, hasSibling, Orthrus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orthrus
Context triple: [Cerberus, hasSibling, Orthrus]
  • A. Orthrus chosen
    Orthrus is a two-headed dog from Greek mythology, often associated with the giant Geryon and slain by the hero Heracles.
  • B. Alcathous
    Alcathous is the ancient acropolis of the Greek city of Megara, serving as its fortified citadel and religious center.
  • C. Argus
    Argus is an early distributed programming language known for pioneering concepts in fault-tolerant, distributed systems and influencing modern object-oriented and concurrent programming.
  • D. Argus
    Argus is a many-eyed giant from Greek mythology best known for his role as a vigilant guardian.
  • E. Minotaur
    The Minotaur is a legendary creature from Greek mythology, depicted as a fearsome monster with the body of a man and the head of a bull that dwelled in the Labyrinth of Crete.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ec16a0819089836e4388b555f6 completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a72ba908190ad9b423aea2a22b8 completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:20 p.m.