Triple
T9180983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Kent |
E220327
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Mary Kent
Mary Kent is a personal name that may refer to multiple individuals across different contexts, without a single widely recognized public figure associated with it.
|
E220327
|
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: Mary Kent | Statement: [Mary Kent, name, Mary Kent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Kent Context triple: [Mary Kent, name, Mary Kent]
-
A.
Mary Kent
Mary Kent was the wife of early American colonial leader and Mayflower passenger Stephen Hopkins.
-
B.
Katharine Tennant
Katharine Tennant was a member of the prominent Tennant family of British high society in the late 19th and early 20th centuries.
-
C.
Elisabeth Scott
Elisabeth Scott was a pioneering British architect best known for designing the modernist Royal Shakespeare Theatre in Stratford-upon-Avon.
-
D.
Elizabeth Donkin
Elizabeth Donkin was the wife of British acting governor Sir Rufane Donkin, in whose memory the South African city of Port Elizabeth was named.
-
E.
Elizabeth Kitley
Elizabeth Kitley is an American college basketball center for Virginia Tech, recognized as one of the top players in the nation and a multi-time ACC Player of the Year.
- 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: Mary Kent Triple: [Mary Kent, name, Mary Kent]
Generated description
Mary Kent is a personal name that may refer to multiple individuals across different contexts, without a single widely recognized public figure associated with it.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Kent Target entity description: Mary Kent is a personal name that may refer to multiple individuals across different contexts, without a single widely recognized public figure associated with it.
-
A.
Mary Kent
chosen
Mary Kent was the wife of early American colonial leader and Mayflower passenger Stephen Hopkins.
-
B.
Katharine Tennant
Katharine Tennant was a member of the prominent Tennant family of British high society in the late 19th and early 20th centuries.
-
C.
Elisabeth Scott
Elisabeth Scott was a pioneering British architect best known for designing the modernist Royal Shakespeare Theatre in Stratford-upon-Avon.
-
D.
Elizabeth Donkin
Elizabeth Donkin was the wife of British acting governor Sir Rufane Donkin, in whose memory the South African city of Port Elizabeth was named.
-
E.
Elizabeth Kitley
Elizabeth Kitley is an American college basketball center for Virginia Tech, recognized as one of the top players in the nation and a multi-time ACC Player of the Year.
- F. None of above.
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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc251da448190a5c7f684dac15a84 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d121eb1c9881908aebf9e1dab72457 |
completed | April 4, 2026, 2:36 p.m. |
| NEDg | Description generation | batch_69d1231adb4481908fac11cae099d0de |
completed | April 4, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d123fcc8f48190838abd08a4af0a63 |
completed | April 4, 2026, 2:45 p.m. |
Created at: March 30, 2026, 7:23 p.m.