Triple

T14712046
Position Surface form Disambiguated ID Type / Status
Subject Jeremiah Otto E345568 entity
Predicate affiliation P10 FINISHED
Object Otto family E889581 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: Otto family | Statement: [Jeremiah Otto, affiliation, Otto family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otto family
Context triple: [Jeremiah Otto, affiliation, Otto family]
  • A. Otto family chosen
    The Otto family is a notable literary and academic family associated with writer and scholar Darcey O'Brien.
  • B. Bismarck family
    The Bismarck family is a prominent German noble lineage best known for producing Otto von Bismarck, the 19th-century statesman who unified Germany and served as its first chancellor.
  • C. Bayer family
    The Bayer family is a group of southern sky constellations introduced by German astronomer Johann Bayer in his 1603 star atlas Uranometria.
  • D. Schwarzenberg family
    The Schwarzenberg family is a prominent Bohemian and Austrian noble lineage historically influential in Central European politics, military affairs, and landownership.
  • E. Neustadt family
    The Neustadt family is a philanthropic family known for endowing and supporting the prestigious Neustadt International Prize for Literature.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08f2aa08190a5ac3240d1de90fb completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.