Triple
T7836848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Clymer |
E181708
|
entity |
| Predicate | fatherInLaw |
P18081
|
FINISHED |
| Object |
Reese Meredith
Reese Meredith was an 18th-century Philadelphia merchant and political figure connected to early American revolutionary circles.
|
E698789
|
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: Reese Meredith | Statement: [George Clymer, fatherInLaw, Reese Meredith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reese Meredith Context triple: [George Clymer, fatherInLaw, Reese Meredith]
-
A.
Katie Lee
Katie Lee is an American cookbook author, food critic, and television personality known for her culinary work and for having been married to musician Billy Joel.
-
B.
Dani Reese
Dani Reese is a fictional Los Angeles police detective and main character from the TV series "Life," portrayed by actress Sarah Shahi.
-
C.
Savannah Guthrie
Savannah Guthrie is an American broadcast journalist and attorney best known as a longtime co-anchor of NBC’s morning show "Today."
-
D.
Caroline Nantz
Caroline Nantz is the daughter of renowned American sportscaster Jim Nantz.
-
E.
Rose Morgan
Rose Morgan is the introspective, insecure Columbia University professor who undergoes a journey of self-discovery and romantic awakening in the film "The Mirror Has Two Faces."
- 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: Reese Meredith Triple: [George Clymer, fatherInLaw, Reese Meredith]
Generated description
Reese Meredith was an 18th-century Philadelphia merchant and political figure connected to early American revolutionary circles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reese Meredith Target entity description: Reese Meredith was an 18th-century Philadelphia merchant and political figure connected to early American revolutionary circles.
-
A.
Katie Lee
Katie Lee is an American cookbook author, food critic, and television personality known for her culinary work and for having been married to musician Billy Joel.
-
B.
Dani Reese
Dani Reese is a fictional Los Angeles police detective and main character from the TV series "Life," portrayed by actress Sarah Shahi.
-
C.
Savannah Guthrie
Savannah Guthrie is an American broadcast journalist and attorney best known as a longtime co-anchor of NBC’s morning show "Today."
-
D.
Caroline Nantz
Caroline Nantz is the daughter of renowned American sportscaster Jim Nantz.
-
E.
Rose Morgan
Rose Morgan is the introspective, insecure Columbia University professor who undergoes a journey of self-discovery and romantic awakening in the film "The Mirror Has Two Faces."
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c203b4819099c039c617628927 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aad325c8190bced57e8380bc729 |
completed | March 31, 2026, 5:25 a.m. |
| NEDg | Description generation | batch_69cb762dd8348190bf74be4e7f5df1e7 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb24068908190977b266366e5ceea |
completed | March 31, 2026, 11:38 a.m. |
Created at: March 30, 2026, 4:46 p.m.