Triple

T10712914
Position Surface form Disambiguated ID Type / Status
Subject Thomas De Witt E252584 entity
Predicate hasFamilyName P18 FINISHED
Object De Witt E50699 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: De Witt | Statement: [Thomas De Witt, hasFamilyName, De Witt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Witt
Context triple: [Thomas De Witt, hasFamilyName, De Witt]
  • A. De Witt chosen
    De Witt is a Dutch surname most famously associated with Johan de Witt, a prominent 17th-century statesman of the Dutch Republic.
  • B. Emmett DeWitt
    Emmett DeWitt is a supporting character in the psychological thriller film "10 Cloverfield Lane," known for his wary yet good-natured presence inside the underground bunker.
  • C. 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.
  • D. Harlan
    Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
  • E. Monroe Herington
    Monroe Herington was an early settler and prominent local figure after whom the city of Herington, Kansas, was named.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe54465081909640f6d7a2314fcb completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69de554ed3848190bba56ab52c05902c completed April 14, 2026, 2:55 p.m.
Created at: April 8, 2026, 9:13 p.m.