Triple
T19985517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Care of Magical Creatures |
E493920
|
entity |
| Predicate | student |
P7251
|
FINISHED |
| Object | Dean Thomas |
—
|
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: Dean Thomas | Statement: [Care of Magical Creatures, student, Dean Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dean Thomas Context triple: [Care of Magical Creatures, student, Dean Thomas]
-
A.
Dean Thomas
chosen
Dean Thomas is a fictional Gryffindor student and member of Dumbledore's Army in J.K. Rowling's Harry Potter series.
-
B.
Ben Thomas
Ben Thomas is best known as the former husband of American comedian and actress Roseanne Barr.
-
C.
Ben Thomas
Ben Thomas is the guilt-ridden IRS agent in the film "Seven Pounds" who seeks redemption by transforming the lives of seven strangers through profound acts of sacrifice.
-
D.
Tony Thomas
Tony Thomas is an American television and film producer best known for co-founding Witt/Thomas Productions and producing popular sitcoms such as "The Golden Girls."
-
E.
Tony Thomas
Tony Thomas is an Indian entrepreneur best known as a co-founder of the software company Zoho Corporation.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d162b008190a18d325796d75d77 |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:29 p.m.