Triple
T1283287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Goodrich |
E27374
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Goodrich
Goodrich is a surname of English origin borne by various notable individuals across fields such as politics, the military, business, and the arts.
|
E147926
|
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: Goodrich | Statement: [Frances Goodrich, familyName, Goodrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodrich Context triple: [Frances Goodrich, familyName, Goodrich]
-
A.
Snodgrass
Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
-
B.
Graham
Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
-
C.
Graham
Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
-
D.
Darrow
Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
-
E.
Sandiacre
Sandiacre is a village and civil parish in the Erewash district of Derbyshire, England, situated near the border with Nottinghamshire.
- 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: Goodrich Triple: [Frances Goodrich, familyName, Goodrich]
Generated description
Goodrich is a surname of English origin borne by various notable individuals across fields such as politics, the military, business, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goodrich Target entity description: Goodrich is a surname of English origin borne by various notable individuals across fields such as politics, the military, business, and the arts.
-
A.
Snodgrass
Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
-
B.
Graham
Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
-
C.
Graham
Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
-
D.
Darrow
Darrow is a surname most famously associated with Clarence Darrow, the prominent American lawyer and civil libertarian known for high-profile cases in the early 20th century.
-
E.
Sandiacre
Sandiacre is a village and civil parish in the Erewash district of Derbyshire, England, situated near the border with Nottinghamshire.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b47be08190828a1c0a11d94ce8 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacba08f881909230c2d9459d4bc4 |
completed | March 7, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69acad2bc82c81909ec4c314e4fe7cc7 |
completed | March 7, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acae0dc4708190bc3a9918391e6739 |
completed | March 7, 2026, 11 p.m. |
Created at: March 1, 2026, 7:50 p.m.