Triple

T4302039
Position Surface form Disambiguated ID Type / Status
Subject Jim Crane E99859 entity
Predicate familyName P18 FINISHED
Object Crane E100532 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: Crane | Statement: [Jim Crane, familyName, Crane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crane
Context triple: [Jim Crane, familyName, Crane]
  • A. Crane chosen
    Crane is a common English surname borne by numerous notable individuals across literature, politics, and other fields.
  • B. Stork
    The stork is a large, long-legged wading bird known for its migratory behavior and cultural associations with delivering babies in European folklore.
  • C. Condor
    Condor is a German leisure airline known for operating holiday flights to popular vacation destinations, primarily from bases in Germany.
  • D. Argosy
    Argosy is a British pulp magazine best known for publishing adventure and genre fiction during the early to mid-20th century.
  • E. Wing
    Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350b66450819089c9ff6ff9f045e5 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c74d59688190820cef42c4228a3a completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.