Triple

T1739841
Position Surface form Disambiguated ID Type / Status
Subject Mitchel Resnick E38207 entity
Predicate givenName P17 FINISHED
Object Mitchel E30388 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: Mitchel | Statement: [Mitchel Resnick, givenName, Mitchel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitchel
Context triple: [Mitchel Resnick, givenName, Mitchel]
  • A. Mitchell chosen
    Mitchell Kapor is an American entrepreneur and software designer best known for founding Lotus Development Corporation and co-creating the Lotus 1-2-3 spreadsheet program.
  • B. Mitchell
    Mitchell is a common English-language surname of Scottish and English origin, borne by numerous notable individuals across fields such as politics, sports, and the arts.
  • C. Myles
    Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
  • D. Mitchell Leisen
    Mitchell Leisen was an American film director, art director, and costume designer known for his stylish Hollywood productions from the 1930s and 1940s.
  • E. Micah
    Micah is a minor biblical figure in the Book of Judges known for establishing a private shrine and hiring a Levite as his personal priest, illustrating the religious disorder of the period.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c4639c81908b91b2559f0c6a5c completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b060d64819096ba0522ccce9145 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.