Triple

T15624340
Position Surface form Disambiguated ID Type / Status
Subject Aro E375641 entity
Predicate sister P14414 FINISHED
Object Didyme E375647 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: Didyme | Statement: [Aro, sister, Didyme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Didyme
Context triple: [Aro, sister, Didyme]
  • A. Didyme chosen
    Didyme is a minor character in the Twilight series, known as a former Volturi vampire and the mate of Marcus whose death deeply affected him.
  • B. Didymoteicho
    Didymoteicho is a historic town in northeastern Greece near the Turkish border, known for its Byzantine and Ottoman heritage.
  • C. Peristera
    Peristera is a small, sparsely populated Greek island in the Aegean Sea, lying just off Alonnisos in the Northern Sporades archipelago and known for its rugged coastline and marine park waters.
  • D. Dyme
    Dyme was an ancient Greek city-state in the region of Achaea, known as one of its earliest and westernmost poleis.
  • E. Dianema
    Dianema is a small genus of South American freshwater catfish known for their armored bodies and bottom-dwelling behavior.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3f65dc8190ac94db1d4d53d77f completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.