Triple

T11379484
Position Surface form Disambiguated ID Type / Status
Subject Harlene Rosen E269555 entity
Predicate familyName P18 FINISHED
Object Rosen E433816 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: Rosen | Statement: [Harlene Rosen, familyName, Rosen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosen
Context triple: [Harlene Rosen, familyName, Rosen]
  • A. Rosen chosen
    Rosen is a common Ashkenazi Jewish surname borne by numerous notable figures in politics, arts, science, and business.
  • B. Rosenstein
    Rosenstein is a surname most notably associated with Justin Rosenstein, the American software programmer and co-founder of Asana.
  • C. Rosenblum
    Rosenblum is a Jewish surname borne by various notable individuals, including Israeli journalist and politician Herzl Rosenblum.
  • D. Rosenfeld
    Rosenfeld is a notable architectural work designed by 19th-century American architect Alexander Jackson Davis.
  • E. Palmore
    Palmore is a surname that functions as a variant form of the more common family name Palmer.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:34 p.m.