Triple

T19100949
Position Surface form Disambiguated ID Type / Status
Subject Piemur E467527 entity
Predicate friend P8712 FINISHED
Object Sebell NE NERFINISHED

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: Sebell | Statement: [Piemur, friend, Sebell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebell
Context triple: [Piemur, friend, Sebell]
  • A. Sebell chosen
    Sebell is a fictional Master Harper from Anne McCaffrey’s Dragonriders of Pern series, known for his musical talent, diplomacy, and role in uncovering Pern’s ancient history.
  • B. Seirah
    Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
  • C. Seir
    Seir is a mountainous region in Edom, traditionally associated with the Horites and later the descendants of Esau in the Hebrew Bible.
  • D. Sibinal
    Sibinal is a highland municipality in western Guatemala’s San Marcos Department, known for its rural communities and proximity to the Tacaná volcano near the Mexican border.
  • E. Servaas
    Servaas is the Dutch name for Saint Servatius of Tongeren-Maastricht, a 4th-century Christian bishop venerated as a patron saint in parts of the Low Countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36de7bc8190b353ed59e12e4631 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.