Triple
T14016363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nature Cat |
E337213
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Nature Cat (character) |
E473338
|
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: Nature Cat (character) | Statement: [Nature Cat, hasMainCharacter, Nature Cat (character)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nature Cat (character) Context triple: [Nature Cat, hasMainCharacter, Nature Cat (character)]
-
A.
Nature Cat
Nature Cat is an animated PBS Kids television series that follows an enthusiastic house cat who embarks on outdoor adventures to inspire children to explore and appreciate nature.
-
B.
Hal in Nature Cat
chosen
Hal in Nature Cat is a goofy, enthusiastic dog character from the children's animated series "Nature Cat," known for his playful personality and love of adventure.
-
C.
Catz
Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
-
D.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
E.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacad948c81909db7187da5a9b97d |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.