Triple
T7447481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothy Mather |
E171919
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mather
Mather is a surname most notably associated with the prominent New England Puritan minister and author Cotton Mather and his influential family.
|
E665026
|
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: Mather | Statement: [Timothy Mather, familyName, Mather]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mather Context triple: [Timothy Mather, familyName, Mather]
-
A.
Arbella
Arbella was the flagship that carried John Winthrop and other Puritan settlers to New England during the Great Migration of 1630.
-
B.
Revere
Revere is a surname most notably associated with American historical figure Paul Revere and various other individuals in politics, arts, and public life.
-
C.
Kittredge
Kittredge is an English-language surname borne by various notable figures, including American writer Charmian Kittredge London.
-
D.
Mather Zickel
Mather Zickel is an American actor known for his work in film and television, including roles in projects like "Rachel Getting Married" and various comedy series.
-
E.
Pilgrim
"Pilgrim" is a music album produced by Simon Climie, best known for his work with Eric Clapton and other prominent artists.
- 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: Mather Triple: [Timothy Mather, familyName, Mather]
Generated description
Mather is a surname most notably associated with the prominent New England Puritan minister and author Cotton Mather and his influential family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mather Target entity description: Mather is a surname most notably associated with the prominent New England Puritan minister and author Cotton Mather and his influential family.
-
A.
Arbella
Arbella was the flagship that carried John Winthrop and other Puritan settlers to New England during the Great Migration of 1630.
-
B.
Revere
Revere is a surname most notably associated with American historical figure Paul Revere and various other individuals in politics, arts, and public life.
-
C.
Kittredge
Kittredge is an English-language surname borne by various notable figures, including American writer Charmian Kittredge London.
-
D.
Mather Zickel
Mather Zickel is an American actor known for his work in film and television, including roles in projects like "Rachel Getting Married" and various comedy series.
-
E.
Pilgrim
"Pilgrim" is a music album produced by Simon Climie, best known for his work with Eric Clapton and other prominent artists.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38808fc8190b27a2b455155cb5b |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827abf3288190b146522af7fcfaa1 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828ca24bc81909357b9f40a9004af |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8297c1de4819099acfac611a519e5 |
completed | March 28, 2026, 7:18 p.m. |
Created at: March 27, 2026, 3:14 p.m.