Triple
T12618434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fayetteville, Arkansas |
E301315
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Fay
Fay is a common informal nickname for the city of Fayetteville, Arkansas.
|
E992122
|
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: Fay | Statement: [Fayetteville, Arkansas, hasNickname, Fay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fay Context triple: [Fayetteville, Arkansas, hasNickname, Fay]
-
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.
Fay
Fay is an American television sitcom created by Susan Harris that aired briefly in the 1970s and centered on the life of a recently divorced woman starting over.
-
C.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
D.
Faye Greener
Faye Greener is a vain, ambitious aspiring actress in Hollywood and a central figure whose illusions and manipulations drive much of the drama in "The Day of the Locust."
-
E.
Felicia
Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
- 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: Fay Triple: [Fayetteville, Arkansas, hasNickname, Fay]
Generated description
Fay is a common informal nickname for the city of Fayetteville, Arkansas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fay Target entity description: Fay is a common informal nickname for the city of Fayetteville, Arkansas.
-
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.
Fay
Fay is an American television sitcom created by Susan Harris that aired briefly in the 1970s and centered on the life of a recently divorced woman starting over.
-
C.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
D.
Faye Greener
Faye Greener is a vain, ambitious aspiring actress in Hollywood and a central figure whose illusions and manipulations drive much of the drama in "The Day of the Locust."
-
E.
Felicia
Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed507988190b9d46586f3c3584c |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f65fb03b248190b264230b84b17635 |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6608ec32c8190803c6f5677c300d6 |
completed | May 2, 2026, 8:37 p.m. |
Created at: April 9, 2026, 5:13 p.m.