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.