Triple

T2479822
Position Surface form Disambiguated ID Type / Status
Subject Elmira, New York E55187 entity
Predicate namedAfter P63 FINISHED
Object Elmira (female given name)
Elmira is a feminine given name of uncertain origin, often thought to derive from Arabic or Germanic roots and used in various cultures.
 E270219 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: Elmira (female given name) | Statement: [Elmira, New York, namedAfter, Elmira (female given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elmira (female given name)
Context triple: [Elmira, New York, namedAfter, Elmira (female given name)]
  • A. Madelyn
    Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
  • B. Ilana
    Ilana is a fictional character associated with the work titled "Dawn."
  • C. Naima
    Naima is a character in the gospel musical and film "Black Nativity," which reimagines the Nativity story through an African-American cultural and spiritual lens.
  • D. Alva
    Alva is a small city in northwestern Oklahoma known as the county seat of Woods County and home to Northwestern Oklahoma State University.
  • E. Alva
    Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
  • 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: Elmira (female given name)
Triple: [Elmira, New York, namedAfter, Elmira (female given name)]
Generated description
Elmira is a feminine given name of uncertain origin, often thought to derive from Arabic or Germanic roots and used in various cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elmira (female given name)
Target entity description: Elmira is a feminine given name of uncertain origin, often thought to derive from Arabic or Germanic roots and used in various cultures.
  • A. Madelyn
    Madelyn is a feminine given name, often considered a modern variant of Madeline and commonly used in English-speaking countries.
  • B. Ilana
    Ilana is a fictional character associated with the work titled "Dawn."
  • C. Naima
    Naima is a character in the gospel musical and film "Black Nativity," which reimagines the Nativity story through an African-American cultural and spiritual lens.
  • D. Alva
    Alva is a small city in northwestern Oklahoma known as the county seat of Woods County and home to Northwestern Oklahoma State University.
  • E. Alva
    Alva is a small town in central Scotland situated at the foot of the Ochil Hills in Clackmannanshire.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd160a9708190b28d2f5538ea129a completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b146d881909672e9cd4a501a11 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af19fa53708190835e51d4bf965c62 completed March 9, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69af1a60ce6c81908cc88fc7c94a3ea9 completed March 9, 2026, 7:07 p.m.
Created at: March 6, 2026, 9:45 p.m.