Triple
T4304421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Everest |
E99919
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Thomas Everest
Thomas Everest was the father of Mary Everest, who became a notable mathematician and educator.
|
E429456
|
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: Thomas Everest | Statement: [Mary Everest, father, Thomas Everest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Everest Context triple: [Mary Everest, father, Thomas Everest]
-
A.
Gannett Peak
Gannett Peak is the tallest mountain in Wyoming, located in the remote Wind River Range and known for its challenging alpine climbing and extensive glaciers.
-
B.
Kom Peak
Kom Peak is a prominent summit in western Bulgaria’s Balkan Mountains, known as a popular hiking destination and a key landmark in the range.
-
C.
Mount Foraker
Mount Foraker is one of the highest and most prominent peaks in Alaska, located near Denali in the central Alaska Range.
-
D.
Marcory
Marcory is a populous urban commune and district of Abidjan in Côte d'Ivoire, known for its residential neighborhoods, commercial areas, and vibrant nightlife.
-
E.
Hamlin Peak
Hamlin Peak is a prominent subpeak of Maine’s Mount Katahdin, known for its alpine terrain and panoramic views within Baxter State Park.
- 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: Thomas Everest Triple: [Mary Everest, father, Thomas Everest]
Generated description
Thomas Everest was the father of Mary Everest, who became a notable mathematician and educator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Everest Target entity description: Thomas Everest was the father of Mary Everest, who became a notable mathematician and educator.
-
A.
Gannett Peak
Gannett Peak is the tallest mountain in Wyoming, located in the remote Wind River Range and known for its challenging alpine climbing and extensive glaciers.
-
B.
Kom Peak
Kom Peak is a prominent summit in western Bulgaria’s Balkan Mountains, known as a popular hiking destination and a key landmark in the range.
-
C.
Mount Foraker
Mount Foraker is one of the highest and most prominent peaks in Alaska, located near Denali in the central Alaska Range.
-
D.
Marcory
Marcory is a populous urban commune and district of Abidjan in Côte d'Ivoire, known for its residential neighborhoods, commercial areas, and vibrant nightlife.
-
E.
Hamlin Peak
Hamlin Peak is a prominent subpeak of Maine’s Mount Katahdin, known for its alpine terrain and panoramic views within Baxter State Park.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350b8e1cc819094ce3d6f6c8da767 |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c7507f1081909cf737dff00542d9 |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c909b7848190bbe00249e0c9e555 |
completed | March 14, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c97117088190972bba5dbc1553f7 |
completed | March 14, 2026, 8:47 p.m. |
Created at: March 12, 2026, 11:09 p.m.