Triple
T21454466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John B. (Hatter mascot) |
E529304
|
entity |
| Predicate | theme |
P261
|
FINISHED |
| Object | Hatter |
—
|
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: Hatter | Statement: [John B. (Hatter mascot), theme, Hatter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatter Context triple: [John B. (Hatter mascot), theme, Hatter]
-
A.
Mad Hatter
The Mad Hatter is a Batman villain obsessed with Lewis Carroll’s "Alice in Wonderland," known for his mind-control technology and distinctive hat-themed crimes.
-
B.
The Mad Hatter
chosen
The Mad Hatter is a whimsical, eccentric character from Lewis Carroll’s "Alice’s Adventures in Wonderland," known for his nonsensical tea parties and distinctive, flamboyant style.
-
C.
The Mad Hatter
The Mad Hatter was the nickname of Albert Anastasia, a notorious mid-20th-century American mobster and co-founder of the Mafia hit squad known as Murder, Inc.
-
D.
Rose the Hat
Rose the Hat is the charismatic and sinister leader of the psychic vampire cult known as the True Knot in Stephen King's horror universe.
-
E.
Mr. Bucket
Mr. Bucket is Charlie Bucket’s hardworking but impoverished father in Roald Dahl’s novel "Charlie and the Chocolate Factory."
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d612e081909d00ca59a3621cc9 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:07 p.m.