Triple
T10975638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Riddle's diary |
E259361
|
entity |
| Predicate | setAs |
P40357
|
FINISHED |
| Object | weapon to reopen the Chamber of Secrets |
—
|
LITERAL 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: weapon to reopen the Chamber of Secrets | Statement: [Tom Riddle's diary, setAs, weapon to reopen the Chamber of Secrets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setAs Context triple: [Tom Riddle's diary, setAs, weapon to reopen the Chamber of Secrets]
-
A.
setWith
Indicates that one entity is grouped, combined, or associated together in a set or collection with another entity.
-
B.
setsReferenceValue
Indicates that one entity assigns or establishes a reference value to be used as a standard or baseline for another entity or process.
-
C.
setsOut
Indicates that an entity begins a journey, course of action, or process, moving from an initial state or location toward a goal or destination.
-
D.
set
chosen
Indicates that an entity places, positions, or establishes another entity into a particular state, configuration, or location.
-
E.
setInto
Indicates placing or inserting one entity into another entity or context, often initiating a new state or condition.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f4e888819097433271a2f45ff3 |
completed | April 9, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.