Triple
T2643212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portly |
E62922
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Otter |
E62921
|
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: Otter | Statement: [Portly, childOf, Otter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otter Context triple: [Portly, childOf, Otter]
-
A.
Otter
chosen
Otter is a friendly, good-natured river-dwelling animal character in Kenneth Grahame’s classic children’s novel "The Wind in the Willows," known for his devotion to his family and his easy camaraderie with the other riverbank creatures.
-
B.
Beaver
Beaver was one of the British ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest in 1773.
-
C.
Beaver
Beaver is a small borough in western Pennsylvania that serves as the administrative and commercial center of Beaver County.
-
D.
Beaver
The Beaver is the official mascot of the California Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
-
E.
Lipotes
Lipotes is a genus of freshwater river dolphins best known for the baiji, a critically endangered or possibly extinct species once native to China’s Yangtze River.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8ff34988190ba9d69ce9d77c71d |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98c2bde8819085fbe1e5221be88d |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.