Triple

T16895292
Position Surface form Disambiguated ID Type / Status
Subject Samantha Bond E424282 entity
Predicate performedIn P795 FINISHED
Object Emma E326305 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: Emma | Statement: [Samantha Bond, performedIn, Emma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma
Context triple: [Samantha Bond, performedIn, Emma]
  • A. Emma
    Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
  • B. Emma chosen
    "Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
  • C. Emma
    Emma is a central character in Sam Shepard’s play "Curse of the Starving Class," portrayed as a rebellious and sharp-witted teenage girl struggling against her dysfunctional family and bleak circumstances.
  • D. Emily
    Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
  • E. Emily
    Emily is a fictional character from the romantic comedy film "The Perfect Holiday," which centers on festive romance and family dynamics during the Christmas season.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d7aec88190888f13601acbcd77 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfc6e77c8190853f747687299fce completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:29 a.m.