Triple

T16737661
Position Surface form Disambiguated ID Type / Status
Subject Rubinstein E406756 entity
Predicate hasNotableBearer P458 FINISHED
Object Helena Rubinstein E159176 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: Helena Rubinstein | Statement: [Rubinstein, hasNotableBearer, Helena Rubinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helena Rubinstein
Context triple: [Rubinstein, hasNotableBearer, Helena Rubinstein]
  • A. Helena Rubinstein chosen
    Helena Rubinstein was a pioneering Polish-American businesswoman and cosmetics entrepreneur who founded one of the world’s first global beauty empires.
  • B. Ruth Kligman
    Ruth Kligman was an American artist and writer best known as Jackson Pollock’s companion and the sole survivor of the car crash that killed him.
  • C. Helene Kraus
    Helene Kraus was the wife of renowned German-American film director Ernst Lubitsch.
  • D. Anne Messel
    Anne Messel was a British socialite from the prominent Messel family who became Countess of Rosse and was the mother of photographer and royal consort Antony Armstrong-Jones, 1st Earl of Snowdon.
  • E. Ella Rubinstein
    Ella Rubinstein is the middle-aged American housewife and protagonist of Elif Shafak’s novel "The Forty Rules of Love," whose life is transformed through her engagement with a manuscript about Rumi and Shams of Tabriz.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c3b60fc81908cf331448b4b5598 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4ea8208190aed0a4014a10d120 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.