Triple

T20997635
Position Surface form Disambiguated ID Type / Status
Subject Hannah Greenaway E517190 entity
Predicate givenName P17 FINISHED
Object Hannah NE NERFINISHED

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: Hannah | Statement: [Hannah Greenaway, givenName, Hannah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannah
Context triple: [Hannah Greenaway, givenName, Hannah]
  • A. Hannah
    Hannah is a compassionate Jewish laundress and the love interest of the Jewish Barber in Charlie Chaplin’s 1940 satirical film "The Great Dictator."
  • B. Hannah
    Hannah is a key survivor character in the British post-apocalyptic horror film "28 Days Later," known for her resilience and resourcefulness amid a rage virus outbreak in London.
  • C. Hannah chosen
    Hannah is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used in many English-speaking and international cultures.
  • D. Hannah
    Hannah is an alternative name or alias for the individual known as Anne.
  • E. Hannah
    "Hannah" is a 2017 Italian drama film directed by Andrea Pallaoro, featuring Charlotte Rampling in a critically acclaimed lead performance as a woman coping with isolation and personal crisis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc22ca6081908bf054ddcfea9e19 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:51 p.m.