Triple

T12502650
Position Surface form Disambiguated ID Type / Status
Subject Laporte E298866 entity
Predicate hasNotableBearer P458 FINISHED
Object Otto Laporte E61881 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 Laporte | Statement: [Laporte, hasNotableBearer, Otto Laporte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otto Laporte
Context triple: [Laporte, hasNotableBearer, Otto Laporte]
  • A. Otto Laporte chosen
    Otto Laporte was a German-American physicist known for his contributions to quantum mechanics and molecular spectroscopy.
  • B. Paul Krempe
    Paul Krempe is a supporting character in the 1957 British horror film "The Curse of Frankenstein," serving as Victor Frankenstein’s friend and moral counterpoint.
  • C. Maurice Bernhardt
    Maurice Bernhardt was the son of famed French actress Sarah Bernhardt and a French writer and playwright in his own right.
  • D. Karl Elliger
    Karl Elliger was a German biblical scholar and Hebraist best known for co-editing the critical edition of the Hebrew Bible, Biblia Hebraica Stuttgartensia.
  • E. August Pfluger
    August Pfluger is a Republican U.S. Representative from Texas and former Air Force fighter pilot who serves in Congress.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718ad25c8190b4d0d51d48c070dd completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 9:57 p.m.