Triple

T3854583
Position Surface form Disambiguated ID Type / Status
Subject Paul Rand E85381 entity
Predicate familyNameAtBirth P18 FINISHED
Object Rosenbaum E85381 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: Rosenbaum | Statement: [Paul Rand, familyNameAtBirth, Rosenbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosenbaum
Context triple: [Paul Rand, familyNameAtBirth, Rosenbaum]
  • A. Rosenbaum chosen
    Rosenbaum is the original family surname of influential American graphic designer Paul Rand, known for his iconic corporate logo designs.
  • B. Rosenblum
    Rosenblum is a Jewish surname borne by various notable individuals, including Israeli journalist and politician Herzl Rosenblum.
  • C. Gruenbaum
    Gruenbaum is a Jewish family name most notably associated with Yitzhak Gruenbaum, a prominent Zionist leader and Israeli politician.
  • D. Rosofsky
    Rosofsky is a Jewish surname associated with individuals such as the American boxer and war hero Barney Ross, whose birth name was Barnet David Rosofsky.
  • E. Abelson
    Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec05ec4c8190bd5e5463163712dc completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041c7250819093b2743afeb6e36c completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.