Triple
T299270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chicken |
E6161
|
entity |
| Predicate | hasCommonBreed |
P7254
|
FINISHED |
| Object |
Wyandotte
Wyandotte is a popular American dual-purpose chicken breed valued for its good egg production, meat quality, and attractive laced plumage.
|
E38912
|
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: Wyandotte | Statement: [chicken, hasCommonBreed, Wyandotte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wyandotte Context triple: [chicken, hasCommonBreed, Wyandotte]
-
A.
Goodhue
Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
-
B.
Bessemer
Bessemer is a surname most notably associated with Sir Henry Bessemer, the English inventor who revolutionized steel production in the 19th century.
-
C.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
D.
Pendleton
Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
-
E.
Marquette
Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
- 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: Wyandotte Triple: [chicken, hasCommonBreed, Wyandotte]
Generated description
Wyandotte is a popular American dual-purpose chicken breed valued for its good egg production, meat quality, and attractive laced plumage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wyandotte Target entity description: Wyandotte is a popular American dual-purpose chicken breed valued for its good egg production, meat quality, and attractive laced plumage.
-
A.
Goodhue
Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
-
B.
Bessemer
Bessemer is a surname most notably associated with Sir Henry Bessemer, the English inventor who revolutionized steel production in the 19th century.
-
C.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
D.
Pendleton
Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
-
E.
Marquette
Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ee002dd0819080f0841eb9107ee3 |
completed | Feb. 28, 2026, 1:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3aba14b0881908eb4f62ac9261d63 |
completed | March 1, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_69a3af5161448190b2051c9533379b3e |
completed | March 1, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3afb5fca48190a2bfece390311dca |
completed | March 1, 2026, 3:17 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.