Triple
T10422662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Prence |
E245695
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Apphia Quick
Apphia Quick was the wife of colonial governor Thomas Prence and a woman associated with early Plymouth Colony society in 17th-century New England.
|
E268966
|
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: Apphia Quick | Statement: [Thomas Prence, spouse, Apphia Quick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apphia Quick Context triple: [Thomas Prence, spouse, Apphia Quick]
-
A.
Apphia
Apphia is a Christian woman mentioned in the New Testament as one of the recipients of Paul’s Epistle to Philemon, traditionally thought to be a member of Philemon’s household, possibly his wife.
-
B.
Appar
Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
-
C.
Applegate
Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
-
D.
Syl Apps III
Syl Apps III is a former Canadian professional ice hockey player and member of the prominent Apps hockey family.
-
E.
Genappe
Genappe is a historic municipality in central Belgium’s Walloon Brabant province, known for its rural character and proximity to key Napoleonic battle sites.
- 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: Apphia Quick Triple: [Thomas Prence, spouse, Apphia Quick]
Generated description
Apphia Quick was the wife of colonial governor Thomas Prence and a woman associated with early Plymouth Colony society in 17th-century New England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apphia Quick Target entity description: Apphia Quick was the wife of colonial governor Thomas Prence and a woman associated with early Plymouth Colony society in 17th-century New England.
-
A.
Apphia
chosen
Apphia is a Christian woman mentioned in the New Testament as one of the recipients of Paul’s Epistle to Philemon, traditionally thought to be a member of Philemon’s household, possibly his wife.
-
B.
Appar
Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
-
C.
Applegate
Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
-
D.
Syl Apps III
Syl Apps III is a former Canadian professional ice hockey player and member of the prominent Apps hockey family.
-
E.
Genappe
Genappe is a historic municipality in central Belgium’s Walloon Brabant province, known for its rural character and proximity to key Napoleonic battle sites.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2cd0788190b904ccdc251a9b7a |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2160208190b6384190d9537df4 |
completed | April 9, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d822d76f3481909f7c04be19414b14 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859fd8f0c8190b0fec880e1180e50 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:12 p.m.