Triple

T13734776
Position Surface form Disambiguated ID Type / Status
Subject Ryan Olson E329907 entity
Predicate associatedAct P37 FINISHED
Object Digitata E329929 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: Digitata | Statement: [Ryan Olson, associatedAct, Digitata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Digitata
Context triple: [Ryan Olson, associatedAct, Digitata]
  • A. Digitata chosen
    Digitata is an American electronic and indie rock band known for its moody, synth-driven sound and ties to the Minneapolis music scene.
  • B. DIGIT
    DIGIT is the European Commission’s Directorate‑General responsible for shaping, implementing, and managing the EU institutions’ digital, IT, and cybersecurity strategies and services.
  • C. Fordata
    Fordata is one of the islands in Indonesia’s Tanimbar archipelago, located in the Maluku province.
  • D. Digil
    Digil is a major dialect cluster of the Somali language spoken primarily by the Digil-Mirifle (Rahanweyn) communities in southern Somalia.
  • E. Datu
    Datu is a traditional title for a chieftain or local ruler in pre-colonial Philippine societies.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0201d3c48190aa306be231a28bc1 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b069ba5481909bb5724d2fb54bb1 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:55 p.m.