Triple
T20651600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs Norris |
E507508
|
entity |
| Predicate | occupation |
P3
|
FINISHED |
| Object | Hogwarts cat |
—
|
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: Hogwarts cat | Statement: [Mrs Norris, occupation, Hogwarts cat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hogwarts cat Context triple: [Mrs Norris, occupation, Hogwarts cat]
-
A.
Kittypants
Kittypants is an Italian Greyhound known for exceptional quality and distinction, likely in show or performance contexts.
-
B.
Crookshanks
chosen
Crookshanks is Hermione Granger’s intelligent, part-Kneazle pet cat in the Harry Potter series, known for his squashed face, ginger fur, and uncanny ability to sense untrustworthy people.
-
C.
Hedwig
Hedwig is the birth name of Hedy Lamarr, the Austrian-born Hollywood actress and inventor known for pioneering frequency-hopping technology.
-
D.
Hedwig
Hedwig is a feminine given name of Germanic origin, historically borne by several European noblewomen and saints.
-
E.
Hedwig
Hedwig is the flamboyant, genderqueer rock singer and central character of the cult musical and film "Hedwig and the Angry Inch."
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af21e87c8190835bf2b2ef195626 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.