Triple

T1476093
Position Surface form Disambiguated ID Type / Status
Subject Emma E30843 entity
Predicate hasDiminutive P456 FINISHED
Object Em
Em is a common shortened form of the given name Emma, often used as an informal nickname.
 E168866 NE FINISHED

How this triple was built (4 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: Em | Statement: [Emma, hasDiminutive, Em]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Em
Context triple: [Emma, hasDiminutive, Em]
  • A. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • B. ME
    ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
  • C. ME
    ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
  • D. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • E. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Em
Triple: [Emma, hasDiminutive, Em]
Generated description
Em is a common shortened form of the given name Emma, often used as an informal nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Em
Target entity description: Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • A. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • B. ME
    ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
  • C. ME
    ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
  • D. ER
    ER is a critically acclaimed American medical drama television series that follows the personal and professional lives of staff in a busy Chicago emergency room.
  • E. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • F. None of above. chosen

Provenance (5 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c602387c8190b97a20c8e05e3d16 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15ab9430819094deb90436983036 completed March 8, 2026, 6:22 a.m.
NEDg Description generation batch_69ad1618cfa48190b0050e8451e9cd48 completed March 8, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69ad1689940c8190ba611a74955033d2 completed March 8, 2026, 6:26 a.m.
Created at: March 1, 2026, 8:11 p.m.