Triple

T15913244
Position Surface form Disambiguated ID Type / Status
Subject Stephen Harding E385900 entity
Predicate givenName P17 FINISHED
Object Stephen E83906 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: Stephen | Statement: [Stephen Harding, givenName, Stephen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen
Context triple: [Stephen Harding, givenName, Stephen]
  • A. Stephen
    Stephen is the formal given name of Steve Wozniak, the American computer engineer and co-founder of Apple Inc.
  • B. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • C. Stephen chosen
    Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
  • D. Stephen
    Stephen is the given name of Stephen Marley, a Jamaican musician and son of reggae legend Bob Marley.
  • E. Stephen
    Stephen is the first name of Steve Ditko, the influential American comic book artist and co-creator of Spider-Man and Doctor Strange.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15661046c819097a53de2a3e0443b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0592b5c8190a4597644864a6bcb completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.