Triple
T27783492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Prize Winner of Defiance, Ohio |
E699396
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
The Prize Winner of Defiance, Ohio: How My Mother Raised 10 Kids on 25 Words or Less
"The Prize Winner of Defiance, Ohio: How My Mother Raised 10 Kids on 25 Words or Less" is a memoir by Terry Ryan recounting her mother Evelyn's resourceful use of jingle-writing and contest entries to support their large family in mid-20th-century Ohio.
|
E1788262
|
NE FINISHED |
How this triple was built (2 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: The Prize Winner of Defiance, Ohio: How My Mother Raised 10 Kids on 25 Words or Less | Statement: [The Prize Winner of Defiance, Ohio, basedOn, The Prize Winner of Defiance, Ohio: How My Mother Raised 10 Kids on 25 Words or Less]
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: The Prize Winner of Defiance, Ohio: How My Mother Raised 10 Kids on 25 Words or Less Triple: [The Prize Winner of Defiance, Ohio, basedOn, The Prize Winner of Defiance, Ohio: How My Mother Raised 10 Kids on 25 Words or Less]
Generated description
"The Prize Winner of Defiance, Ohio: How My Mother Raised 10 Kids on 25 Words or Less" is a memoir by Terry Ryan recounting her mother Evelyn's resourceful use of jingle-writing and contest entries to support their large family in mid-20th-century Ohio.
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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f637d083408190bfc124e8a3f60af7 |
completed | May 2, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12ecc61728819095cad91e0fa3ab4f |
completed | May 24, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a12ed68ab588190a2247672cc7818d8 |
completed | May 24, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12ee4f57508190aa0d1832b30a9556 |
completed | May 24, 2026, 12:25 p.m. |
Created at: April 27, 2026, 5:11 p.m.