Triple
T14873798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pond |
E349814
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John Pond |
E741831
|
NE FINISHED |
How this triple was built (2 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: John Pond | Statement: [Pond, hasNotableBearer, John Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Pond Context triple: [Pond, hasNotableBearer, John Pond]
-
A.
John Pond
chosen
John Pond is a small, remote lake in New York’s Adirondack Mountains, known for its quiet wilderness setting and backcountry recreation.
-
B.
Stephen Moorbath
Stephen Moorbath was a pioneering British geologist and geochronologist renowned for his work on radiometric dating and establishing the ages of some of the Earth's oldest rocks.
-
C.
Philip Holmes
Philip Holmes is a mathematician and mechanical engineer known for his influential work in dynamical systems, chaos theory, and nonlinear mechanics.
-
D.
Nicholas Campbell
Nicholas Campbell is a Canadian actor best known for his work in film and television, including his lead role in the crime drama series "Da Vinci's Inquest."
-
E.
Claude Gillingwater
Claude Gillingwater was an American character actor of the early 20th century, known for his frequent roles as stern or curmudgeonly older men in silent and early sound films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e2c94c8190a16f05ea81701fc1 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b52c12481908d0173a2a3ed854b |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.