Triple

T2086277
Position Surface form Disambiguated ID Type / Status
Subject Fannie E45356 entity
Predicate hasStressPattern P4253 FINISHED
Object FAN-nee
FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
E232052 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: FAN-nee | Statement: [Fannie, hasStressPattern, FAN-nee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAN-nee
Context triple: [Fannie, hasStressPattern, FAN-nee]
  • A. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • B. Fefe
    "Fefe" is a 2018 hip-hop single by rapper Tekashi 6ix9ine featuring Nicki Minaj and Murda Beatz that gained widespread attention for its catchy hook and colorful music video.
  • C. Nene
    Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
  • D. E-n-i-d
    E-n-i-d is an alternative hyphenated spelling of the given name "Enid," which is of Welsh origin and often associated with literary and historical usage.
  • E. Fumei
    Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
  • 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: FAN-nee
Triple: [Fannie, hasStressPattern, FAN-nee]
Generated description
FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FAN-nee
Target entity description: FAN-nee is the stress pattern indicating that the primary emphasis falls on the first syllable of the name “Fannie.”
  • A. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • B. Fefe
    "Fefe" is a 2018 hip-hop single by rapper Tekashi 6ix9ine featuring Nicki Minaj and Murda Beatz that gained widespread attention for its catchy hook and colorful music video.
  • C. Nene
    Nene was the principal wife of Japanese warlord Toyotomi Hideyoshi and a politically influential noblewoman during the late Sengoku period.
  • D. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • E. E-n-i-d
    E-n-i-d is an alternative hyphenated spelling of the given name "Enid," which is of Welsh origin and often associated with literary and historical usage.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba54ec048190bfe378aef1cc8086 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273f8e3481908c45f1686072a95d completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae29284a90819088ce2344b139e714 completed March 9, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69ae29c9b6ac8190a0256fb911afaf72 completed March 9, 2026, 2 a.m.
Created at: March 4, 2026, 7:41 p.m.