Triple

T3503689
Position Surface form Disambiguated ID Type / Status
Subject Zebulon Pike E74025 entity
Predicate givenName P17 FINISHED
Object Zebulon E330869 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: Zebulon | Statement: [Zebulon Pike, givenName, Zebulon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zebulon
Context triple: [Zebulon Pike, givenName, Zebulon]
  • A. Zebulon chosen
    Zebulon is a masculine given name of Hebrew origin, traditionally associated with the biblical tribe of Zebulun.
  • B. Daggett
    Daggett is a small unincorporated desert community in San Bernardino County, California, historically known as a railroad and mining town along major transportation routes.
  • C. De Witt
    De Witt is a Dutch surname most famously associated with Johan de Witt, a prominent 17th-century statesman of the Dutch Republic.
  • D. Dedan
    Dedan is a biblical figure mentioned in the Hebrew Bible as a descendant of Abraham through Keturah and associated with an Arabian tribe or region known for trade.
  • E. Ogden Rood
    Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf0c2b48190b49923137bb9e45d completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373db933881908557d678dcdee382 completed March 13, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:18 p.m.