Triple

T9967642
Position Surface form Disambiguated ID Type / Status
Subject Morpheus E195724 entity
Predicate romanticPartner P9994 FINISHED
Object Niobe E113750 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: Niobe | Statement: [Morpheus, romanticPartner, Niobe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niobe
Context triple: [Morpheus, romanticPartner, Niobe]
  • A. Niobe chosen
    Niobe is a figure in Greek mythology whose tragic story centers on her pride in her many children and the devastating divine retribution that followed.
  • B. Antiope
    Antiope is an Amazonian queen in Greek mythology, often associated with Athens through her relationship with the hero Theseus.
  • C. Antiope
    Antiope is a figure in Greek mythology, often associated with Thebes and known for her tragic story involving Zeus and the birth of the twins Amphion and Zethus.
  • D. Creusa
    Creusa is a figure in Greek mythology, best known as a Trojan princess and the wife of the hero Aeneas.
  • E. Creusa
    Creusa is a figure in Greek mythology, often depicted as an Athenian princess and mother of Ion in Euripides’ tragedy.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71f9d7c8190ac02c53052c1c6ad completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23db701b881909bb986a32df4349b completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:47 p.m.