Triple
T18936665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving Kane Pond |
E463265
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pond |
—
|
NE NERFINISHED |
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: Pond | Statement: [Irving Kane Pond, familyName, Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pond Context triple: [Irving Kane Pond, familyName, Pond]
-
A.
Pond
Pond is an Australian psychedelic rock band known for its experimental sound and close creative ties to Tame Impala.
-
B.
Pond
chosen
Pond is a common English surname of topographic origin, typically referring to someone who lived near a pond.
-
C.
Ponds
Ponds is a long-established skincare brand best known for its cold creams, moisturizers, and facial care products.
-
D.
Puffer Pond
Puffer Pond is a small, scenic backcountry lake located within the Siamese Ponds Wilderness area of New York’s Adirondack Park, popular with hikers and anglers seeking a remote, quiet setting.
-
E.
Snake Pond
Snake Pond is a notable location featured in the classic Hong Kong martial arts film "Shaolin vs. Wu-Tang."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e7b87c81909dc29defb33c8e00 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.