Triple

T17007574
Position Surface form Disambiguated ID Type / Status
Subject Dynamics of Polymeric Liquids E412610 entity
Predicate hasAuthor P4244 FINISHED
Object Ole Hassager E418554 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: Ole Hassager | Statement: [Dynamics of Polymeric Liquids, hasAuthor, Ole Hassager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ole Hassager
Context triple: [Dynamics of Polymeric Liquids, hasAuthor, Ole Hassager]
  • A. Ole Hassager chosen
    Ole Hassager is a Danish chemical engineer and rheologist known for his contributions to the study of complex fluid mechanics and coauthoring influential texts in the field.
  • B. Ole Christensen
    Ole Christensen is a Danish mathematician known for his contributions to functional analysis and frame theory.
  • C. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • D. Flemming Ørnskov
    Flemming Ørnskov is a Danish physician and business executive best known for serving as CEO of the rare-disease biopharmaceutical company Shire plc.
  • E. Poul Christian Hansen
    Poul Christian Hansen was a notable individual surnamed Hansen, though specific widely known biographical details about him are not clearly established in common reference sources.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d3841e48819086dbc383cb4b1c16 completed April 18, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb99b348190a6db655cd8aee799 completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 5:32 a.m.