Triple
T3341078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashley Pond II |
E70260
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Pond
Pond is a common English surname of topographic origin, typically referring to someone who lived near a pond.
|
E349814
|
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: Pond | Statement: [Ashley Pond II, hasFamilyName, Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pond Context triple: [Ashley Pond II, hasFamilyName, Pond]
-
A.
Frog Pond
Frog Pond is a historic, central water feature in Boston Common that serves as a popular public skating rink in winter and a splash pool and gathering spot in warmer months.
-
B.
Sand Pond
Sand Pond is a small natural pond located within the Blackwell Forest Preserve in DuPage County, Illinois, known for its scenic setting and wildlife habitat.
-
C.
Sand Pond
Sand Pond is a small freshwater lake located near the town of Norway in western Maine, known for its quiet, scenic setting and recreational use.
-
D.
Turtle Pond
Turtle Pond is a small, tranquil body of water in New York City's Central Park known for its resident turtles and scenic views near Belvedere Castle.
-
E.
Round Pond
Round Pond is a large ornamental lake in London's Kensington Gardens, popular for model boating and leisure activities.
- 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: Pond Triple: [Ashley Pond II, hasFamilyName, Pond]
Generated description
Pond is a common English surname of topographic origin, typically referring to someone who lived near a pond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pond Target entity description: Pond is a common English surname of topographic origin, typically referring to someone who lived near a pond.
-
A.
Frog Pond
Frog Pond is a historic, central water feature in Boston Common that serves as a popular public skating rink in winter and a splash pool and gathering spot in warmer months.
-
B.
Sand Pond
Sand Pond is a small natural pond located within the Blackwell Forest Preserve in DuPage County, Illinois, known for its scenic setting and wildlife habitat.
-
C.
Sand Pond
Sand Pond is a small freshwater lake located near the town of Norway in western Maine, known for its quiet, scenic setting and recreational use.
-
D.
Turtle Pond
Turtle Pond is a small, tranquil body of water in New York City's Central Park known for its resident turtles and scenic views near Belvedere Castle.
-
E.
Round Pond
Round Pond is a large ornamental lake in London's Kensington Gardens, popular for model boating and leisure activities.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1c0ae44819091c851569eaf4565 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a92555c81909a4769b6ecea5721 |
completed | March 12, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69b31c3aaba48190b203e344d71080f3 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31da28a04819096e7ced5f123592a |
completed | March 12, 2026, 8:10 p.m. |
Created at: March 8, 2026, 3:12 p.m.