Triple
T36413312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginny Weasley (possessed by Tom Riddle) |
E896938
|
entity |
| Predicate | receivesDiaryAt |
P143458
|
FINISHED |
| Object | Flourish and Blotts bookshop |
—
|
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: Flourish and Blotts bookshop | Statement: [Ginny Weasley (possessed by Tom Riddle), receivesDiaryAt, Flourish and Blotts bookshop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesDiaryAt Context triple: [Ginny Weasley (possessed by Tom Riddle), receivesDiaryAt, Flourish and Blotts bookshop]
-
A.
diaryWrittenIn
Indicates that a diary is composed or recorded using a particular language or writing system.
-
B.
diaryLocation
chosen
Indicates the place where a diary is kept, stored, or situated.
-
C.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
D.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
-
E.
receivedFor
Indicates that something was obtained, accepted, or taken into possession on behalf of or for the benefit of a specified entity.
- F. None of above.
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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:10 p.m.